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Lab sessions in engineering education are designed to reinforce theoretical concepts. However, usually there are not enough time to reinforce all of them. Remote and virtual lab give students more time for reinforce those concepts. In particular, with remote labs, this can be done interacting with real lab equipment and specific configurations. This work proposes a flexible configuration for Remote Lab Sessions, based on some of 2019 most popular programming languages (Python and JavaScript). This configuration needed minimal network privileges, it is easily to scale and reconfigure. Its structure is based on a unique Reception-Server (which hosts User database, and Time Shift Manager, it is accessible from The Internet, and connect Users with Instruments-Servers) and some Instrument-Servers (which manage hardware connection and host experiences). Users always connect to Reception-Server, and book a shift for an experience. During the time range associate to that shift, User is internally forwarded to Instrument-Server associated with selected experience, so User is still connected to Reception-Serer. In this way, Reception-Server acts as a firewall, protecting Instrument-Servers, which never are open to The Internet. A triple evaluation system is implemented, User session logging and auto-evaluation (objectives accomplished) a knowledge test and an interaction survey. An experience is implemented, controlling a DC source using Standard Commands for Programmable Instruments.
Jose María Sierra-Fernandez; Olivia Florencias-Oliveros; Manuel Jesús Espinosa-Gavira; José Carlos Palomares-Salas; Agustín Agüera-Pérez; Juan José González-De-La-Rosa. Reconfigurable Web-Interface Remote Lab for Instrumentation and Electronic Learning. International Journal of Online and Biomedical Engineering (iJOE) 2020, 16, 69 -80.
AMA StyleJose María Sierra-Fernandez, Olivia Florencias-Oliveros, Manuel Jesús Espinosa-Gavira, José Carlos Palomares-Salas, Agustín Agüera-Pérez, Juan José González-De-La-Rosa. Reconfigurable Web-Interface Remote Lab for Instrumentation and Electronic Learning. International Journal of Online and Biomedical Engineering (iJOE). 2020; 16 (14):69-80.
Chicago/Turabian StyleJose María Sierra-Fernandez; Olivia Florencias-Oliveros; Manuel Jesús Espinosa-Gavira; José Carlos Palomares-Salas; Agustín Agüera-Pérez; Juan José González-De-La-Rosa. 2020. "Reconfigurable Web-Interface Remote Lab for Instrumentation and Electronic Learning." International Journal of Online and Biomedical Engineering (iJOE) 16, no. 14: 69-80.
Different forecasting methodologies, classified into parametric and nonparametric, were studied in order to predict the average concentration of P M 10 over the course of 24 h. The comparison of the forecasting models was based on four quality indexes (Pearson’s correlation coefficient, the index of agreement, the mean absolute error, and the root mean squared error). The proposed experimental procedure was put into practice in three urban centers belonging to the Bay of Algeciras (Andalusia, Spain). The prediction results obtained with the proposed models exceed those obtained with the reference models through the introduction of low-quality measurements as exogenous information. This proves that it is possible to improve performance by using additional information from the existing nonlinear relationships between the concentration of the pollutants and the meteorological variables.
José Carlos Palomares-Salas; Juan José González-De-La-Rosa; Agustín Agüera-Pérez; José María Sierra-Fernández; Olivia Florencias-Oliveros. Forecasting PM10 in the Bay of Algeciras Based on Regression Models. Sustainability 2019, 11, 968 .
AMA StyleJosé Carlos Palomares-Salas, Juan José González-De-La-Rosa, Agustín Agüera-Pérez, José María Sierra-Fernández, Olivia Florencias-Oliveros. Forecasting PM10 in the Bay of Algeciras Based on Regression Models. Sustainability. 2019; 11 (4):968.
Chicago/Turabian StyleJosé Carlos Palomares-Salas; Juan José González-De-La-Rosa; Agustín Agüera-Pérez; José María Sierra-Fernández; Olivia Florencias-Oliveros. 2019. "Forecasting PM10 in the Bay of Algeciras Based on Regression Models." Sustainability 11, no. 4: 968.
The highly-changing concept of Power Quality (PQ) needs to be continuously reformulated due to the new schemas of the power grid or Smart Grid (SG). In general, the spectral content is characterized by their averaged or extreme values. However, new PQ events may consist of large variations in amplitude that occur in a short time or small variations in amplitude that take place continuously. Thus, the former second-order techniques are not suitable to monitor the dynamics of the power spectrum. In this work, a strategy based on Spectral Kurtosis (SK) is introduced to detect frequency components with a constant amplitude trend, which accounts for amplitude values’ dispersion related to the mean value of that spectral component. SK has been proven to measure frequency components that follow a constant amplitude trend. Two practical real-life cases have been considered: electric current time-series from an arc furnace and the power grid voltage supply. Both cases confirm that the more concentrated the amplitude values are around the mean value, the lower the SK values are. All this confirms SK as an effective tool for evaluating frequency components with a constant amplitude trend, being able to provide information beyond maximum variation around the mean value and giving a progressive index of value dispersion around the mean amplitude value, for each frequency component.
Jose-María Sierra-Fernández; Sarah Rönnberg; Juan-José González De La Rosa; Math H. J. Bollen; José-Carlos Palomares-Salas. Application of Spectral Kurtosis to Characterize Amplitude Variability in Power Systems’ Harmonics. Energies 2019, 12, 194 .
AMA StyleJose-María Sierra-Fernández, Sarah Rönnberg, Juan-José González De La Rosa, Math H. J. Bollen, José-Carlos Palomares-Salas. Application of Spectral Kurtosis to Characterize Amplitude Variability in Power Systems’ Harmonics. Energies. 2019; 12 (1):194.
Chicago/Turabian StyleJose-María Sierra-Fernández; Sarah Rönnberg; Juan-José González De La Rosa; Math H. J. Bollen; José-Carlos Palomares-Salas. 2019. "Application of Spectral Kurtosis to Characterize Amplitude Variability in Power Systems’ Harmonics." Energies 12, no. 1: 194.
Very short-term solar forecasts are gaining interest for their application on real-time control of photovoltaic systems. These forecasts are intimately related to the cloud motion that produce variations of the irradiance field on scales of seconds and meters, thus particularly impacting in small photovoltaic systems. Very short-term forecast models must be supported by updated information of the local irradiance field, and solar sensor networks are positioning as the more direct way to obtain these data. The development of solar sensor networks adapted to small-scale systems as microgrids is subject to specific requirements: high updating frequency, high density of measurement points and low investment. This paper proposes a wireless sensor network able to provide snapshots of the irradiance field with an updating frequency of 2 Hz. The network comprised 16 motes regularly distributed over an area of 15 m × 15 m (4 motes × 4 motes, minimum intersensor distance of 5 m). The irradiance values were estimated from illuminance measurements acquired by lux-meters in the network motes. The estimated irradiances were validated with measurements of a secondary standard pyranometer obtaining a mean absolute error of 24.4 W/m2 and a standard deviation of 36.1 W/m2. The network was able to capture the cloud motion and the main features of the irradiance field even with the reduced dimensions of the monitoring area. These results and the low-cost of the measurement devices indicate that this concept of solar sensor networks would be appropriate not only for photovoltaic plants in the range of MW, but also for smaller systems such as the ones installed in microgrids.
Manuel Jesús Espinosa-Gavira; Agustín Agüera-Pérez; Juan José González De La Rosa; José Carlos Palomares-Salas; José María Sierra-Fernández; Juan González De La Rosa. An On-Line Low-Cost Irradiance Monitoring Network with Sub-Second Sampling Adapted to Small-Scale PV Systems. Sensors 2018, 18, 3405 .
AMA StyleManuel Jesús Espinosa-Gavira, Agustín Agüera-Pérez, Juan José González De La Rosa, José Carlos Palomares-Salas, José María Sierra-Fernández, Juan González De La Rosa. An On-Line Low-Cost Irradiance Monitoring Network with Sub-Second Sampling Adapted to Small-Scale PV Systems. Sensors. 2018; 18 (10):3405.
Chicago/Turabian StyleManuel Jesús Espinosa-Gavira; Agustín Agüera-Pérez; Juan José González De La Rosa; José Carlos Palomares-Salas; José María Sierra-Fernández; Juan González De La Rosa. 2018. "An On-Line Low-Cost Irradiance Monitoring Network with Sub-Second Sampling Adapted to Small-Scale PV Systems." Sensors 18, no. 10: 3405.
This work presents a qualitative study regarding how frequency uncertainty affects Power Quality (PQ) by tracking higher-order statistics (HOS) deviations in 2D graphs. Changes in the fundamental frequency of the voltage supply affect the signal's shape, which is surveyed using the variance, the skewness and kurtosis of the normalized signal, by following the trajectories in the HOS planes that gather the dynamic of the electric voltage supply. Using test signals, the limits, established in the EN 50160 for the frequency deviations in synchronous and isolated systems, have been mapped into the HOS planes in order to characterize the trajectories associated with contractual limits and to propose new PQ indices based on HOS not only for frequency deviation but also for other type of power quality events. The deviations of the statistics are quantified in the HOS plane according to these thresholds. This method is capable not only of reporting deviations but also of monitoring real-time events, e.g. the case of the industrial frequency transients and the frequency fluctuations in case of high penetration of renewable energy sources.
Olivia Florencias-Oliveros; Agustin Aguera-Perez; Jose-Maria Sierra-Fernandez; Juan-Jose Gonzalez-De-La-Rosa; Jose-Carlos Palomares-Salas; Manuel-Jesus Espinosa-Gavira. Voltage Supply Frequency Uncertainty influence on Power Quality index: A qualitative analysis of Higher-Order Statistics 2D trajectories. 2018 IEEE 9th International Workshop on Applied Measurements for Power Systems (AMPS) 2018, 1 -6.
AMA StyleOlivia Florencias-Oliveros, Agustin Aguera-Perez, Jose-Maria Sierra-Fernandez, Juan-Jose Gonzalez-De-La-Rosa, Jose-Carlos Palomares-Salas, Manuel-Jesus Espinosa-Gavira. Voltage Supply Frequency Uncertainty influence on Power Quality index: A qualitative analysis of Higher-Order Statistics 2D trajectories. 2018 IEEE 9th International Workshop on Applied Measurements for Power Systems (AMPS). 2018; ():1-6.
Chicago/Turabian StyleOlivia Florencias-Oliveros; Agustin Aguera-Perez; Jose-Maria Sierra-Fernandez; Juan-Jose Gonzalez-De-La-Rosa; Jose-Carlos Palomares-Salas; Manuel-Jesus Espinosa-Gavira. 2018. "Voltage Supply Frequency Uncertainty influence on Power Quality index: A qualitative analysis of Higher-Order Statistics 2D trajectories." 2018 IEEE 9th International Workshop on Applied Measurements for Power Systems (AMPS) , no. : 1-6.
This paper presents a higher-order statistics-based approach of detecting transients that uses the fourth-order discrete spectrogram to monitor the power supply in a node of the domestic smart grid. Taking advantage of the mixed time–frequency domain information, the method allows for the transient detection and the subsequent identification of the potential area in which the fault takes place. The proposed method is evaluated through real power-line signals from the Spanish electrical grid. Thanks to the peakedness enhancement capability of the higher-order spectra, the results show that the procedure is able to detect low-level transients, which are likely ignored by the traditional detection procedures, where the concern pertains to power reliability (not oriented to micro grids), and this, by analyzing the duration and frequency content of the electrical perturbation, may indicate prospective faulty states of elements in a grid. Easy to implement in a hand-held instrument, the computational strategy has a 5 Hz resolution in the range 0–500 Hz and a 50 Hz resolution in the range of 0–5 kHz, and could be consequently used by technicians in order to allocate new types of transients originated by the distributed energy resources. Four real-life case-studies illustrate the performance.
Juan-José González-De-La-Rosa; Agustín Agüera-Pérez; José-Carlos Palomares-Salas; Olivia Florencias-Oliveros; José-María Sierra-Fernández. A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram. Energies 2018, 11, 503 .
AMA StyleJuan-José González-De-La-Rosa, Agustín Agüera-Pérez, José-Carlos Palomares-Salas, Olivia Florencias-Oliveros, José-María Sierra-Fernández. A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram. Energies. 2018; 11 (3):503.
Chicago/Turabian StyleJuan-José González-De-La-Rosa; Agustín Agüera-Pérez; José-Carlos Palomares-Salas; Olivia Florencias-Oliveros; José-María Sierra-Fernández. 2018. "A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram." Energies 11, no. 3: 503.
This paper presents a Wireless Sensor Network (WSN) design, using the Application Programming Interface (API) mode for accessing to the communication modules built-in functions. In these conditions, the use of an external microcontroller can be avoided with the subsequent reduction in the global network cost, but also increasing the reliability and the flexibility while maintaining the essential features of typical WSN. To show the system performance, two variables have been monitored: light and temperature.
M. J. Espinosa Gavira; A. Jimenez-Pro; J.J. Gonzalez-De-La-Rosa; Agustín Agüera-Pérez; Olivia Florencias-Oliveros; J.C. Palomares-Salas; Jose Maria Sierra-Fernandez. Improving Flexibility in Wireless Sensor Networks via API. An Application in Environmental Monitoring. 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS) 2018, 1 -4.
AMA StyleM. J. Espinosa Gavira, A. Jimenez-Pro, J.J. Gonzalez-De-La-Rosa, Agustín Agüera-Pérez, Olivia Florencias-Oliveros, J.C. Palomares-Salas, Jose Maria Sierra-Fernandez. Improving Flexibility in Wireless Sensor Networks via API. An Application in Environmental Monitoring. 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS). 2018; ():1-4.
Chicago/Turabian StyleM. J. Espinosa Gavira; A. Jimenez-Pro; J.J. Gonzalez-De-La-Rosa; Agustín Agüera-Pérez; Olivia Florencias-Oliveros; J.C. Palomares-Salas; Jose Maria Sierra-Fernandez. 2018. "Improving Flexibility in Wireless Sensor Networks via API. An Application in Environmental Monitoring." 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS) , no. : 1-4.
Olivia Florencias-Oliveros; Agustín Agüera-Pérez; Juan José González-De-La-Rosa; José-Carlos Palomares-Salas; José-María Sierra-Fernández. A novel instrument for power quality monitoring based in higher-order statistics: a dynamic triggering index for the smart grid. Renewable Energy and Power Quality Journal 2017, 1, 43 -48.
AMA StyleOlivia Florencias-Oliveros, Agustín Agüera-Pérez, Juan José González-De-La-Rosa, José-Carlos Palomares-Salas, José-María Sierra-Fernández. A novel instrument for power quality monitoring based in higher-order statistics: a dynamic triggering index for the smart grid. Renewable Energy and Power Quality Journal. 2017; 1 (15):43-48.
Chicago/Turabian StyleOlivia Florencias-Oliveros; Agustín Agüera-Pérez; Juan José González-De-La-Rosa; José-Carlos Palomares-Salas; José-María Sierra-Fernández. 2017. "A novel instrument for power quality monitoring based in higher-order statistics: a dynamic triggering index for the smart grid." Renewable Energy and Power Quality Journal 1, no. 15: 43-48.
Álvaro Jiménez Montero; Agustín Agüera Pérez; Juan José González De La Rosa; José Carlos Palomares Salas; José María Sierra Fernandez; Olivia Florencias Oliveros. Advanced methods of signal processing for Power Quality assessment. Renewable Energy and Power Quality Journal 2017, 1, 298 -303.
AMA StyleÁlvaro Jiménez Montero, Agustín Agüera Pérez, Juan José González De La Rosa, José Carlos Palomares Salas, José María Sierra Fernandez, Olivia Florencias Oliveros. Advanced methods of signal processing for Power Quality assessment. Renewable Energy and Power Quality Journal. 2017; 1 (15):298-303.
Chicago/Turabian StyleÁlvaro Jiménez Montero; Agustín Agüera Pérez; Juan José González De La Rosa; José Carlos Palomares Salas; José María Sierra Fernandez; Olivia Florencias Oliveros. 2017. "Advanced methods of signal processing for Power Quality assessment." Renewable Energy and Power Quality Journal 1, no. 15: 298-303.
This paper proposes a technique based in the graphical cluster analysis to be implemented in Smart Power Quality Analyzers (SPQA), a proposal Instrument Class S, according to the standard UNE-EN 61000-4-30, with the goal of monitoring electrical grids where new events arise as a consequence of the penetration of new energy resources. In the presence of an electrical fault the instrument triggers the measurement procedure, according to a settled threshold of the PQ, and calculates the higher-order statistics (HOS) features in the time domain that enable the classification. Performance results over a battery of 160 signals show two clusters (sags and transients), with an acceptable accuracy of 80%. The work also presents the concept of the uncertainty inter-cluster area. The analysis of the intensity cluster disturbances helps the grid operator characterizing better the database and introducing some qualitative criteria for monitoring the smart grid.
Olivia Florencias-Oliveros; Agustin Aguera-Perez; Juan-Jose Gonzalez-De-La-Rosa; Jose-Carlos Palomares-Salas; Jose-Maria Sierra-Fernandez; Alvaro Jimenez Montero. Cluster analysis for Power Quality monitoring. 2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) 2017, 626 -631.
AMA StyleOlivia Florencias-Oliveros, Agustin Aguera-Perez, Juan-Jose Gonzalez-De-La-Rosa, Jose-Carlos Palomares-Salas, Jose-Maria Sierra-Fernandez, Alvaro Jimenez Montero. Cluster analysis for Power Quality monitoring. 2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). 2017; ():626-631.
Chicago/Turabian StyleOlivia Florencias-Oliveros; Agustin Aguera-Perez; Juan-Jose Gonzalez-De-La-Rosa; Jose-Carlos Palomares-Salas; Jose-Maria Sierra-Fernandez; Alvaro Jimenez Montero. 2017. "Cluster analysis for Power Quality monitoring." 2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) , no. : 626-631.
Juan José González De La Rosa; Agustín Agüera Pérez; José Carlos Palomares Salas; José María Sierra Fernández. Wavelets’ filters and higher-order frequency analysis of acoustic emission signals from termite activity. Measurement 2016, 93, 315 -318.
AMA StyleJuan José González De La Rosa, Agustín Agüera Pérez, José Carlos Palomares Salas, José María Sierra Fernández. Wavelets’ filters and higher-order frequency analysis of acoustic emission signals from termite activity. Measurement. 2016; 93 ():315-318.
Chicago/Turabian StyleJuan José González De La Rosa; Agustín Agüera Pérez; José Carlos Palomares Salas; José María Sierra Fernández. 2016. "Wavelets’ filters and higher-order frequency analysis of acoustic emission signals from termite activity." Measurement 93, no. : 315-318.
Power-line signal analysis according to international standards implies the acquisition of signals with a stable frequency. However, the value of this frequency falls in a relatively wide range. That frequency stability allows the adoption of an acquisition scheme where it is not allowed to use another window function other than the rectangular one. This implies that the signal sample set has to include an integer number of periods of the analyzed signal. Otherwise, a significant spectral leakage is produced during the sample set processing. If it is also taken into account that the fundamental analysis tool, FFT, needs a sample set with a number of points that has to be a power of two, it must be concluded that signal samples has to be acquired in a synchronized way with the signal, or a lot of preprocessing has to be done before FFT in order to obtain a sample set that fulfills the mathematical and standard-derived requirements. In this paper we present and evaluate a simple and accurate FPGA-based synchronizing method that allows the right acquisition of power-line signals.
Ángel Quirós-Olozábal; Maria-Angeles Cifredo-Chacon; Juan Jose Gonzalez De La Rosa; Jose Maria Sierra-Fernandez. A simple and accurate FPGA-based synchronizing method for power-line signal acquisition. 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) 2016, 1 -5.
AMA StyleÁngel Quirós-Olozábal, Maria-Angeles Cifredo-Chacon, Juan Jose Gonzalez De La Rosa, Jose Maria Sierra-Fernandez. A simple and accurate FPGA-based synchronizing method for power-line signal acquisition. 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC). 2016; ():1-5.
Chicago/Turabian StyleÁngel Quirós-Olozábal; Maria-Angeles Cifredo-Chacon; Juan Jose Gonzalez De La Rosa; Jose Maria Sierra-Fernandez. 2016. "A simple and accurate FPGA-based synchronizing method for power-line signal acquisition." 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) , no. : 1-5.
Autonomous measurement units are indispensable for the development of the Smart Grid in order to get faster processing responses, stability, and to provide the user with information regarding power quality (losses, harmonics, outages, steady-state and transient events). In this paper, the development of a novel FPGA-based real-time analyzer is presented. The signal processing nucleus is based on higher-order statistics, introducing the Spectral Kurtosis as an online assessment. Indeed, this fourth-order spectrum enhances non-Gaussian behavior in very unfavorable noise conditions. In the Power Quality assessment frame, the outline of this spectrum can be used to reveal the presence of underlying electrical perturbations. In this paper it is presented an autonomous analyzer that uses the Spectral Kurtosis to detect the presence of low level harmonics. These harmonics are difficult to detect using conventional techniques and can generate problems in power distribution when they are associated to a resonant response in the powered load. The proposed system has been described in synthesizable VHDL and performs an indirect estimator of a poly-spectrum slide, based on the FFT. This synthesizable description has been implemented using a low cost FPGA, enabling a continuous monitoring of the power signal (without dead times) with a high oversampling rate. The proposed solution has been conceived to be introduced in smart grids with high penetration of Distributed Energy Resources (DER).
Ángel Quirós-Olozábal; Juan-José González-De-La-Rosa; María-Ángeles Cifredo-Chacón; Jose Maria Sierra-Fernandez. A novel FPGA-based system for real-time calculation of the Spectral Kurtosis: A prospective application to harmonic detection. Measurement 2016, 86, 101 -113.
AMA StyleÁngel Quirós-Olozábal, Juan-José González-De-La-Rosa, María-Ángeles Cifredo-Chacón, Jose Maria Sierra-Fernandez. A novel FPGA-based system for real-time calculation of the Spectral Kurtosis: A prospective application to harmonic detection. Measurement. 2016; 86 ():101-113.
Chicago/Turabian StyleÁngel Quirós-Olozábal; Juan-José González-De-La-Rosa; María-Ángeles Cifredo-Chacón; Jose Maria Sierra-Fernandez. 2016. "A novel FPGA-based system for real-time calculation of the Spectral Kurtosis: A prospective application to harmonic detection." Measurement 86, no. : 101-113.
Agustín Agüera-Pérez; José Carlos Palomares-Salas; Juan José González De La Rosa; José María Sierra-Fernández. Towards a satisfactory wind description for concentrated solar plants production assessment. Solar Energy 2016, 123, 23 -28.
AMA StyleAgustín Agüera-Pérez, José Carlos Palomares-Salas, Juan José González De La Rosa, José María Sierra-Fernández. Towards a satisfactory wind description for concentrated solar plants production assessment. Solar Energy. 2016; 123 ():23-28.
Chicago/Turabian StyleAgustín Agüera-Pérez; José Carlos Palomares-Salas; Juan José González De La Rosa; José María Sierra-Fernández. 2016. "Towards a satisfactory wind description for concentrated solar plants production assessment." Solar Energy 123, no. : 23-28.
Higher-order statistics demonstrate their innovative features to characterize power quality events, beyond the traditional and limited Gaussian perspective, integrating time-frequency features and within the frame of a Higher-Order Neural Network (HONN). With the massive advent of smart measurement equipment in the electrical grid (Smart Grid), and in the frame of high penetration scenarios of renewable energy resources, the necessity dynamic power quality monitoring is gaining even more importance in order to identify the suspicious sources of the perturbation, which are nonlinear and unpredictable in nature. This eventually would satisfy the demand of intelligent instruments, capable not only of detecting the type of perturbation, but also the source of its origin in a scenario of distributed energy resources.
José Carlos Palomares-Salas; Juan José González De La Rosa; José María Sierra-Fernández; Agustín Agüera-Pérez; Álvaro Jiménez-Montero; Rosa Piotrkowski. Integration of Higher-Order Time-Frequency Statistics and Neural Networks. Genetic Algorithms and Applications for Stock Trading Optimization 2016, 154 -172.
AMA StyleJosé Carlos Palomares-Salas, Juan José González De La Rosa, José María Sierra-Fernández, Agustín Agüera-Pérez, Álvaro Jiménez-Montero, Rosa Piotrkowski. Integration of Higher-Order Time-Frequency Statistics and Neural Networks. Genetic Algorithms and Applications for Stock Trading Optimization. 2016; ():154-172.
Chicago/Turabian StyleJosé Carlos Palomares-Salas; Juan José González De La Rosa; José María Sierra-Fernández; Agustín Agüera-Pérez; Álvaro Jiménez-Montero; Rosa Piotrkowski. 2016. "Integration of Higher-Order Time-Frequency Statistics and Neural Networks." Genetic Algorithms and Applications for Stock Trading Optimization , no. : 154-172.
For the development of the future smart grid, the detection of power quality events is a key issue for the power system monitoring. Voltage sags, swells, harmonics (variations) and interruptions, which produce large losses for commercial and industrial consumers, are the main events to be considered due to the sensitivity of equipment to these electrical anomalies. The steady-state events are even more frequently accompanied by transients, the discrimination and localization being far more exigent and requiring advanced signal separating tools to be incorporated in the measurement equipment. This paper shows the event detection performance of the spectral kurtosis as a signal separating tool in the frequency domain. The disturbances under test are hybrid signals resulting from the coupling between amplitude defects and non-desired higher frequencies. Being a fourth-order spectrum, the kurtosis is confirmed as a noise-resistant tool that enhances impulsiveness, therefore characterizing the electrical anomalies. In the beginning of the analysis, the voltage sag is established as a reference; then, the disturbances (oscillatory transients and harmonics) are coupled at the starting and ending instants of the sag, resulting in complex hybrid events. The results show that the spectral kurtosis enhances the detection Energies 2015, 8 9778 of both types of events (steady state and transients), which are outlined in a bump shape in the fourth-order frequency pattern and centered in the main carrier frequency. Indeed, while the oscillatory transients are associated with softer and lower-amplitude peaks, the harmonics correspond to crisper and higher ones. As these mixed electrical faults are very common in the actual power grid, the article postulates the higher-order spectra to be implemented in prospective online measurement instruments.
Juan José González De La Rosa; José María Sierra-Fernández; José Carlos Palomares-Salas; Agustín Agüera-Pérez; Álvaro Jiménez Montero. An Application of Spectral Kurtosis to Separate Hybrid Power Quality Events. Energies 2015, 8, 9777 -9793.
AMA StyleJuan José González De La Rosa, José María Sierra-Fernández, José Carlos Palomares-Salas, Agustín Agüera-Pérez, Álvaro Jiménez Montero. An Application of Spectral Kurtosis to Separate Hybrid Power Quality Events. Energies. 2015; 8 (9):9777-9793.
Chicago/Turabian StyleJuan José González De La Rosa; José María Sierra-Fernández; José Carlos Palomares-Salas; Agustín Agüera-Pérez; Álvaro Jiménez Montero. 2015. "An Application of Spectral Kurtosis to Separate Hybrid Power Quality Events." Energies 8, no. 9: 9777-9793.
Juan José González de la Rosa; Agustín Agüera Pérez; José Carlos Palomares Salas; José María Sierra Fernández. A novel measurement method for transient detection based in wavelets entropy and the spectral kurtosis: An application to vibrations and acoustic emission signals from termite activity. Measurement 2015, 68, 58 -69.
AMA StyleJuan José González de la Rosa, Agustín Agüera Pérez, José Carlos Palomares Salas, José María Sierra Fernández. A novel measurement method for transient detection based in wavelets entropy and the spectral kurtosis: An application to vibrations and acoustic emission signals from termite activity. Measurement. 2015; 68 ():58-69.
Chicago/Turabian StyleJuan José González de la Rosa; Agustín Agüera Pérez; José Carlos Palomares Salas; José María Sierra Fernández. 2015. "A novel measurement method for transient detection based in wavelets entropy and the spectral kurtosis: An application to vibrations and acoustic emission signals from termite activity." Measurement 68, no. : 58-69.
This paper compares classification techniques to identify several power quality disturbances in a frame of smart metering design for smart grids with high penetration of PV systems. These techniques are: Linear Discriminant Analysis (LDA), Nearest Neighbor Method (kNN), Learning Vector Quantization (LVQ) and Support Vector Machine (SVM). For this purpose, fourteen power-quality features based in higher-order statistics are used to assist classification. Special attention is paid to the spectral kurtosis, whose nature enables measurement options related to the impulsiveness of the power quality events. The best technique of those compared is selected according to correlation and mistake rates. Results clearly reveal the potential capability of the methodology in classifying the single disturbances. Concretely, the SVM classifier obtained an average correlation rate of 99%. Hence, concluding that it is a robust classification method.
J.C. Palomares-Salas; Juan Jose Gonzalez De La Rosa; Agustín Agüera-Pérez; Jose Maria Sierra-Fernandez. Smart grids power quality analysis based in classification techniques and higher-order statistics: Proposal for photovoltaic systems. 2015 IEEE International Conference on Industrial Technology (ICIT) 2015, 2955 -2959.
AMA StyleJ.C. Palomares-Salas, Juan Jose Gonzalez De La Rosa, Agustín Agüera-Pérez, Jose Maria Sierra-Fernandez. Smart grids power quality analysis based in classification techniques and higher-order statistics: Proposal for photovoltaic systems. 2015 IEEE International Conference on Industrial Technology (ICIT). 2015; ():2955-2959.
Chicago/Turabian StyleJ.C. Palomares-Salas; Juan Jose Gonzalez De La Rosa; Agustín Agüera-Pérez; Jose Maria Sierra-Fernandez. 2015. "Smart grids power quality analysis based in classification techniques and higher-order statistics: Proposal for photovoltaic systems." 2015 IEEE International Conference on Industrial Technology (ICIT) , no. : 2955-2959.
This work compares seven regression algorithms implemented in artificial neural networks (ANNs) supported by 14 power-quality features, which are based in higher-order statistics. Combining time and frequency domain estimators to deal with non-stationary measurement sequences, the final goal of the system is the implementation in the future smart grid to guarantee compatibility between all equipment connected. The principal results are based in spectral kurtosis measurements, which easily adapt to the impulsive nature of the power quality events. These results verify that the proposed technique is capable of offering interesting results for power quality (PQ) disturbance classification. The best results are obtained using radial basis networks, generalized regression, and multilayer perceptron, mainly due to the non-linear nature of data.
José Carlos Palomares Salas; Juan José González De La Rosa; José María Sierra Fernández; Agustín Agüera Pérez. HOS network-based classification of power quality events via regression algorithms. EURASIP Journal on Advances in Signal Processing 2015, 2015, 713 .
AMA StyleJosé Carlos Palomares Salas, Juan José González De La Rosa, José María Sierra Fernández, Agustín Agüera Pérez. HOS network-based classification of power quality events via regression algorithms. EURASIP Journal on Advances in Signal Processing. 2015; 2015 (1):713.
Chicago/Turabian StyleJosé Carlos Palomares Salas; Juan José González De La Rosa; José María Sierra Fernández; Agustín Agüera Pérez. 2015. "HOS network-based classification of power quality events via regression algorithms." EURASIP Journal on Advances in Signal Processing 2015, no. 1: 713.
Spaceborne scatterometers provide accurate measurements of wind fields over the sea. This letter proposes a methodology to take advantage of the revisit time and high resolution in the wind fields retrieved from Advanced Scatterometer (ASCAT)-A and ASCAT-B measurements to assess complexity in their short-term evolution and in their instantaneous spatial pattern. The achievement of this information is fundamental for a complete characterization of wind complexity in a region, being also fundamental to determine the influence of geographical elements in local wind patterns. Results show that the proposed approach is able to provide additional and novel information regarding other wind complexity characterizations based on the steadiness, vorticity, or relative wind speed variability.
Agustín Agüera-Pérez; Juan José González De La Rosa; José Carlos Palomares-Salas; José María Sierra-Fernández. Testing New Parameters for Wind Complexity Assessment From ASCAT Measurements. IEEE Geoscience and Remote Sensing Letters 2014, 12, 933 -937.
AMA StyleAgustín Agüera-Pérez, Juan José González De La Rosa, José Carlos Palomares-Salas, José María Sierra-Fernández. Testing New Parameters for Wind Complexity Assessment From ASCAT Measurements. IEEE Geoscience and Remote Sensing Letters. 2014; 12 (5):933-937.
Chicago/Turabian StyleAgustín Agüera-Pérez; Juan José González De La Rosa; José Carlos Palomares-Salas; José María Sierra-Fernández. 2014. "Testing New Parameters for Wind Complexity Assessment From ASCAT Measurements." IEEE Geoscience and Remote Sensing Letters 12, no. 5: 933-937.