This page has only limited features, please log in for full access.

Unclaimed
Moisès Serra Serra
Data and Signal Processing Group, University of Vic—Central University of Catalonia, 08500 Catalonia, Spain

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 09 January 2021 in Applied Sciences
Reads 0
Downloads 0

In this paper, a method to build models to monitor and evaluate the health status of wind turbines using Single-hidden Layer Feedforward Neural networks (SLFN) is presented. The models are trained using the Extreme Learning Machines (ELM) strategy. The data used is obtained from the SCADA systems, easily available in modern wind turbines. The ELM technique requires very low computational costs for the training of the models, and thus allows for the integration of a grid-search approach with parallelized instances to find out the optimal model parameters. These models can be built both individually, considering the turbines separately, or as an aggregate for the whole wind plant. The followed strategy consists in predicting a target variable using the rest of the variables of the system/subsystem, computing the error deviation from the real target variable and finally comparing high error values with a selection of alarm events for that system, therefore validating the performance of the model. The experimental results indicate that this methodology leads to the detection of mismatches in the stages of the system’s failure, thus making it possible to schedule the maintenance operation before a critical failure occurs. The simplicity of the ELM systems and the ease with which the parameters can be adjusted make it a realistic option to be implemented in wind turbine models to work in real time.

ACS Style

Pere Marti-Puig; Alejandro Blanco-M.; Moisès Serra-Serra; Jordi Solé-Casals. Wind Turbine Prognosis Models Based on SCADA Data and Extreme Learning Machines. Applied Sciences 2021, 11, 590 .

AMA Style

Pere Marti-Puig, Alejandro Blanco-M., Moisès Serra-Serra, Jordi Solé-Casals. Wind Turbine Prognosis Models Based on SCADA Data and Extreme Learning Machines. Applied Sciences. 2021; 11 (2):590.

Chicago/Turabian Style

Pere Marti-Puig; Alejandro Blanco-M.; Moisès Serra-Serra; Jordi Solé-Casals. 2021. "Wind Turbine Prognosis Models Based on SCADA Data and Extreme Learning Machines." Applied Sciences 11, no. 2: 590.

Journal article
Published: 24 December 2019 in Water
Reads 0
Downloads 0

Supervisory Control And Data Acquisition (SCADA) systems currently monitor and collect a huge among of data from all kind of processes. Ideally, they must run without interruption, but in practice, some data may be lost due to a sensor failure or a communication breakdown. When it happens, given the nature of these failures, information is lost in bursts, that is, sets of consecutive samples. When this occurs, it is necessary to fill out the gaps of the historical data with a reliable data completion method. This paper presents an ad hoc method to complete the data lost by a SCADA system in case of long bursts. The data correspond to levels of drinking water tanks of a Water Network company which present fluctuation patterns on a daily and a weekly scale. In this work, a new tensorization process and a novel completion algorithm mainly based on two tensor decompositions are presented. Statistical tests are realised, which consist of applying the data reconstruction algorithms, by deliberately removing bursts of data in verified historical databases, to be able to evaluate the real effectiveness of the tested methods. For this application, the presented approach outperforms the other techniques found in the literature.

ACS Style

Pere Marti-Puig; Arnau Martí-Sarri; Moisès Serra-Serra. Double Tensor-Decomposition for SCADA Data Completion in Water Networks. Water 2019, 12, 80 .

AMA Style

Pere Marti-Puig, Arnau Martí-Sarri, Moisès Serra-Serra. Double Tensor-Decomposition for SCADA Data Completion in Water Networks. Water. 2019; 12 (1):80.

Chicago/Turabian Style

Pere Marti-Puig; Arnau Martí-Sarri; Moisès Serra-Serra. 2019. "Double Tensor-Decomposition for SCADA Data Completion in Water Networks." Water 12, no. 1: 80.

Journal article
Published: 16 May 2019 in Water
Reads 0
Downloads 0

This work contributes to the techniques used for SCADA (Supervisory Control and Data Acquisition) system data completion in databases containing historical water sensor signals from a water supplier company. Our approach addresses the data restoration problem in two stages. In the first stage, we treat one-dimensional signals by estimating missing data through the combination of two linear predictor filters, one working forwards and one backwards. In the second stage, the data are tensorized to take advantage of the underlying structures at five minute, one day, and one week intervals. Subsequently, a low-range approximation of the tensor is constructed to correct the first stage of the data restoration. This technique requires an offset compensation to guarantee the continuity of the signal at the two ends of the burst. To check the effectiveness of the proposed method, we performed statistical tests by deleting bursts of known sizes in a complete tensor and contrasting different strategies in terms of their performance. For the type of data used, the results show that the proposed data completion approach outperforms other methods, the difference becoming more evident as the size of the bursts of missing data grows.

ACS Style

Pere Marti-Puig; Arnau Martí-Sarri; Moisès Serra-Serra. Different Approaches to SCADA Data Completion in Water Networks. Water 2019, 11, 1023 .

AMA Style

Pere Marti-Puig, Arnau Martí-Sarri, Moisès Serra-Serra. Different Approaches to SCADA Data Completion in Water Networks. Water. 2019; 11 (5):1023.

Chicago/Turabian Style

Pere Marti-Puig; Arnau Martí-Sarri; Moisès Serra-Serra. 2019. "Different Approaches to SCADA Data Completion in Water Networks." Water 11, no. 5: 1023.

Journal article
Published: 01 October 2018 in HardwareX
Reads 0
Downloads 0

This paper presents an easy-to-use, easy-to-customize, and low cost device for remote monitoring of Cultural Heritage environments such as museums, art galleries, and historical archives. The prototype allows measurements of temperature, relative humidity, and dew point. The chip used is an ESP8266 characterized by on-board Wi-Fi. The hardware design is flexible in order to host extra sensors via I2C bus and easy replacement of microcontroller and sensors in the event of either malfunctions or substitution with newer versions. The device is programmable using the Arduino IDE. The data are sent to an IoT platform that allows real-time visualization, analyses, and download. Tests were performed in laboratory and at the Casa de Convalescencia in Vic (Spain), by monitoring the microenvironment of an exhibition cabinet hosting 18th century ceramics. The results achieved are promising: the open hardware and software approach allows plan further implementations and provides a solid base for device customizations; in terms of technology applied to Cultural Heritage, the implementation of open hardware does not only can lower significantly the costs, but also provides scientifically reliable alternatives to off the shelf technology, as well as enhances end-users capability to develop customized devices that can better address specific needs.

ACS Style

Mainardo Gaudenzi Asinelli; Moisès Serra Serra; Judit Molera Marimòn; Jordi Serra Espaulella. The smARTS_Museum_V1: An open hardware device for remote monitoring of Cultural Heritage indoor environments. HardwareX 2018, 4, 1 .

AMA Style

Mainardo Gaudenzi Asinelli, Moisès Serra Serra, Judit Molera Marimòn, Jordi Serra Espaulella. The smARTS_Museum_V1: An open hardware device for remote monitoring of Cultural Heritage indoor environments. HardwareX. 2018; 4 ():1.

Chicago/Turabian Style

Mainardo Gaudenzi Asinelli; Moisès Serra Serra; Judit Molera Marimòn; Jordi Serra Espaulella. 2018. "The smARTS_Museum_V1: An open hardware device for remote monitoring of Cultural Heritage indoor environments." HardwareX 4, no. : 1.

Comparative study
Published: 01 September 2018 in Meat Science
Reads 0
Downloads 0

The thickness of the subcutaneous fat in hams is one of the most important factors for the dry-curing process and largely determines its final quality. This parameter is usually measured in slaughterhouses by a manual metrical measure to classify hams. The aim of the present study was to propose an automatic classification method based on data obtained from a carcass automatic classification equipment (AutoFom) and intrinsic data of the pigs (sex, breed, and weight) to simulate the manual classification system. The evaluated classification algorithms were decision tree, support vector machines (SVM), k-nearest neighbour and discriminant analysis. A total of 4000 hams selected by breed and sex were classified as thin (0–10 mm), standard (11–15 mm), semi-fat (16–20 mm) and fat (>20 mm). The most reliable model, with a percentage of success of 73%, was SVM with Gaussian kernel, including all data available. These results suggest that the proposed classification method can be a useful online tool in slaughterhouses to classify hams.

ACS Style

Gerard Masferrer; Ricard Carreras; Maria Font-I-Furnols; Marina Gispert; Pere Marti-Puig; Moises Serra Serra. On-line Ham Grading using pattern recognition models based on available data in commercial pig slaughterhouses. Meat Science 2018, 143, 39 -45.

AMA Style

Gerard Masferrer, Ricard Carreras, Maria Font-I-Furnols, Marina Gispert, Pere Marti-Puig, Moises Serra Serra. On-line Ham Grading using pattern recognition models based on available data in commercial pig slaughterhouses. Meat Science. 2018; 143 ():39-45.

Chicago/Turabian Style

Gerard Masferrer; Ricard Carreras; Maria Font-I-Furnols; Marina Gispert; Pere Marti-Puig; Moises Serra Serra. 2018. "On-line Ham Grading using pattern recognition models based on available data in commercial pig slaughterhouses." Meat Science 143, no. : 39-45.

Journal article
Published: 14 June 2018 in Environmental Modelling & Software
Reads 0
Downloads 0

Scoring animal behavior is increasingly needed for better understanding ecological processes. For example, behavior shapes harvesting likelihood, thus management of harvested resources should improve after accounting for behavior-driven processes. Automatic video-recording at controlled arenas is the most widespread method for scoring behavior. However, long term tracking animals while keeping identity is still an opened challenge. Here, we develop an ad-hoc algorithm for multi-tracking objects during days or even weeks, to fulfill the particular needs for a behavioral assay concerning a fish species targeted by recreational fishing. Specifically, we overcome the challenge of keeping fish identity in a context where they often disappeared from the camera when entering a shelter, the pixel size was low compared to the size of the arena and the lighting was constrained by the wellbeing of the fish. This work may contribute to better assess the behavioral features of fish in long-lasting lab conditions.

ACS Style

P. Marti-Puig; M. Serra-Serra; A. Campos-Candela; R. Reig-Bolaño; A. Manjabacas; M. Palmer. Quantitatively scoring behavior from video-recorded, long-lasting fish trajectories. Environmental Modelling & Software 2018, 106, 68 -76.

AMA Style

P. Marti-Puig, M. Serra-Serra, A. Campos-Candela, R. Reig-Bolaño, A. Manjabacas, M. Palmer. Quantitatively scoring behavior from video-recorded, long-lasting fish trajectories. Environmental Modelling & Software. 2018; 106 ():68-76.

Chicago/Turabian Style

P. Marti-Puig; M. Serra-Serra; A. Campos-Candela; R. Reig-Bolaño; A. Manjabacas; M. Palmer. 2018. "Quantitatively scoring behavior from video-recorded, long-lasting fish trajectories." Environmental Modelling & Software 106, no. : 68-76.

Proceedings article
Published: 30 June 2005 in Microtechnologies for the New Millennium 2005
Reads 0
Downloads 0

In this paper a rapid prototyping design flow is presented and applied to a prototype of the base-band physical layer of a Hiperlan/2 WLAN transceiver. This physical layer is a high performance multi-rate system that contains computationally intensive algorithms. A new method for prototyping the design flow and verifying the process is to use the latest generation of system level design environments (visual data flow environment) for DSPs. The System Generator and Matlab/Simulink tools form a visual data flow environment for FPGA allow us to model DSP systems and explore algorithms. This environment also translates designs into hardware implementations that are faithful, synthesizable and efficient, which can be explored and refined in rapid prototyping platforms.© (2005) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

ACS Style

Moises Serra; Pere Martí; Jordi Carrabina. Rapid prototyping with the visual data environment of an OFDM WLAN system. Microtechnologies for the New Millennium 2005 2005, 5837, 1104 -1109.

AMA Style

Moises Serra, Pere Martí, Jordi Carrabina. Rapid prototyping with the visual data environment of an OFDM WLAN system. Microtechnologies for the New Millennium 2005. 2005; 5837 ():1104-1109.

Chicago/Turabian Style

Moises Serra; Pere Martí; Jordi Carrabina. 2005. "Rapid prototyping with the visual data environment of an OFDM WLAN system." Microtechnologies for the New Millennium 2005 5837, no. : 1104-1109.

Conference paper
Published: 30 June 2005 in Microtechnologies for the New Millennium 2005
Reads 0
Downloads 0

In this article we present a study and the corresponding implementation of low cost printed antennas in the 2,4GHz band. These antennas work with low cost transceivers that give a FR input/output signal in the band of interest. The work is part of a project in the field of sensor networks using technology such as Zigbee or even simpler and cheaper systems. We have focused our attention on parameters such as the antenna impedance, which is very important for achieving maximum power transfer with the transceiver while avoiding adaptation circuits. We are also interested in avoiding balums. We have analyzed these printed antennas in terms of their efficiency and radiation pattern using electromagnetic simulation software. Two structures have been evaluated and compared. The first is a structure derived from a monopole and slot antenna and the second is a printed patch antenna.

ACS Style

Pere Marti-Puig; Moises Serra Serra; Jordi Carrabina. Low-cost printed antenna design in the band of 2.4 GHz. Microtechnologies for the New Millennium 2005 2005, 5837, 1098 -1104.

AMA Style

Pere Marti-Puig, Moises Serra Serra, Jordi Carrabina. Low-cost printed antenna design in the band of 2.4 GHz. Microtechnologies for the New Millennium 2005. 2005; 5837 ():1098-1104.

Chicago/Turabian Style

Pere Marti-Puig; Moises Serra Serra; Jordi Carrabina. 2005. "Low-cost printed antenna design in the band of 2.4 GHz." Microtechnologies for the New Millennium 2005 5837, no. : 1098-1104.

Conference paper
Published: 13 November 2004 in Proceedings. 15th IEEE International Workshop on Rapid System Prototyping, 2004.
Reads 0
Downloads 0
ACS Style

Moises Serra; Pere Martí; Jordi Carrabina. Implementation of a channel equalizer for ofdm wireless lans. Proceedings. 15th IEEE International Workshop on Rapid System Prototyping, 2004. 2004, 1 .

AMA Style

Moises Serra, Pere Martí, Jordi Carrabina. Implementation of a channel equalizer for ofdm wireless lans. Proceedings. 15th IEEE International Workshop on Rapid System Prototyping, 2004.. 2004; ():1.

Chicago/Turabian Style

Moises Serra; Pere Martí; Jordi Carrabina. 2004. "Implementation of a channel equalizer for ofdm wireless lans." Proceedings. 15th IEEE International Workshop on Rapid System Prototyping, 2004. , no. : 1.