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Prof. Javier Sotomayor Moriano
International Federation of Automatic Control

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0 Process Control
0 Real Time System Design
0 System Identification
0 fault diagnosis
0 Engineering education

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Journal article
Published: 22 April 2021 in Applied Sciences
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Implementation of model-based fault diagnosis systems can be a difficult task due to the complex dynamics of most systems, an appealing alternative to avoiding modeling is to use machine learning-based techniques for which the implementation is more affordable nowadays. However, the latter approach often requires extensive data processing. In this paper, a hybrid approach using recent developments in neural ordinary differential equations is proposed. This approach enables us to combine a natural deep learning technique with an estimated model of the system, making the training simpler and more efficient. For evaluation of this methodology, a nonlinear benchmark system is used by simulation of faults in actuators, sensors, and process. Simulation results show that the proposed methodology requires less processing for the training in comparison with conventional machine learning approaches since the data-set is directly taken from the measurements and inputs. Furthermore, since the model used in the essay is only a structural approximation of the plant; no advanced modeling is required. This approach can also alleviate some pitfalls of training data-series, such as complicated data augmentation methodologies and the necessity for big amounts of data.

ACS Style

Luis Enciso-Salas; Gustavo Pérez-Zuñiga; Javier Sotomayor-Moriano. Fault Diagnosis via Neural Ordinary Differential Equations. Applied Sciences 2021, 11, 3776 .

AMA Style

Luis Enciso-Salas, Gustavo Pérez-Zuñiga, Javier Sotomayor-Moriano. Fault Diagnosis via Neural Ordinary Differential Equations. Applied Sciences. 2021; 11 (9):3776.

Chicago/Turabian Style

Luis Enciso-Salas; Gustavo Pérez-Zuñiga; Javier Sotomayor-Moriano. 2021. "Fault Diagnosis via Neural Ordinary Differential Equations." Applied Sciences 11, no. 9: 3776.

Journal article
Published: 23 January 2021 in Entropy
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In automated plants, particularly in the petrochemical, energy, and chemical industries, the combined management of all of the incidents that can produce a catastrophic accident is required. In order to do this, an alarm management methodology can be formulated as a discrete event sequence recognition problem, in which time patterns are used to identify the safe condition of the process, especially in the start-up and shutdown stages. In this paper, a new layer of protection (a Super-Alarm), based on the diagnostic stage to industrial processes is presented. The alarms and actions of the standard operating procedures are considered to be discrete events involved in sequences; the diagnostic stage corresponds to the recognition of the situation when these sequences occur. This provides operators with pertinent information about the normal or abnormal situations induced by the flow of the alarms. Chronicles Based Alarm Management (CBAM) is the methodology used in this document to build the chronicles that will permit us to generate the Super-Alarms; in addition, a case study of the petrochemical sector using CBAM is presented in order to build one chronicle that represents the scenario of an abnormal start-up of an oil transport system. Finally, the scenario’s validation for this case is performed, showing the way in which, a Super-Alarm is generated.

ACS Style

John Vásquez; Gustavo Pérez-Zuñiga; Javier Sotomayor-Moriano; Adalberto Ospino. Super-Alarms with Diagnosis Proficiency Used as an Additional Layer of Protection Applied to An Oil Transport System. Entropy 2021, 23, 139 .

AMA Style

John Vásquez, Gustavo Pérez-Zuñiga, Javier Sotomayor-Moriano, Adalberto Ospino. Super-Alarms with Diagnosis Proficiency Used as an Additional Layer of Protection Applied to An Oil Transport System. Entropy. 2021; 23 (2):139.

Chicago/Turabian Style

John Vásquez; Gustavo Pérez-Zuñiga; Javier Sotomayor-Moriano; Adalberto Ospino. 2021. "Super-Alarms with Diagnosis Proficiency Used as an Additional Layer of Protection Applied to An Oil Transport System." Entropy 23, no. 2: 139.

Journal article
Published: 04 September 2020 in Processes
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Currently, the use of industrial seawater reverse osmosis desalination (ISROD) plants has increased in popularity in light of the growing global demand for freshwater. In ISROD plants, any fault in the components of their control systems can lead to a plant malfunction, and this condition can originate safety risks, energy waste, as well as affect the quality of freshwater. This paper addresses the design of a fault detection and isolation (FDI) system based on a structural analysis approach for an ISROD plant located in Lima (Peru). Structural analysis allows obtaining a plant model, which is useful to generate diagnostic tests. Here, diagnostic tests via fault-driven minimal structurally overdetermined (FMSO) sets are computed, and then, binary integer linear programming (BILP) is used to select the FMSO sets that guarantee isolation. Simulations shows that all the faults of interest (sensors and actuators faults) are detected and isolated according to the proposed design.

ACS Style

Gustavo Pérez-Zuñiga; Raul Rivas-Perez; Javier Sotomayor-Moriano; Victor Sánchez-Zurita. Fault Detection and Isolation System Based on Structural Analysis of an Industrial Seawater Reverse Osmosis Desalination Plant. Processes 2020, 8, 1100 .

AMA Style

Gustavo Pérez-Zuñiga, Raul Rivas-Perez, Javier Sotomayor-Moriano, Victor Sánchez-Zurita. Fault Detection and Isolation System Based on Structural Analysis of an Industrial Seawater Reverse Osmosis Desalination Plant. Processes. 2020; 8 (9):1100.

Chicago/Turabian Style

Gustavo Pérez-Zuñiga; Raul Rivas-Perez; Javier Sotomayor-Moriano; Victor Sánchez-Zurita. 2020. "Fault Detection and Isolation System Based on Structural Analysis of an Industrial Seawater Reverse Osmosis Desalination Plant." Processes 8, no. 9: 1100.

Journal article
Published: 03 March 2020 in Applied Sciences
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This article addresses the design of a robust H2 state feedback controller (H2-SFC) for the effective temperature control in the heating zone of the steel slab reheating furnace. Based on the available field data and system identification procedures, a mathematical model of the heating zone is derived, which presents autoregressive-moving average with exogenous input (ARMAX) structure and fourth order. The design of an H2-SFC controller for the effective control of the heating zone temperature of the slab reheating furnace under study is developed. The simulation results of the designed control system showed its high effectiveness compared to the conventional PID control.

ACS Style

José Salcedo-Hernández; Raul Rivas-Perez; Javier Sotomayor-Moriano. Design of a Robust H2 State Feedback Temperature Controller for a Steel Slab Reheating Furnace. Applied Sciences 2020, 10, 1731 .

AMA Style

José Salcedo-Hernández, Raul Rivas-Perez, Javier Sotomayor-Moriano. Design of a Robust H2 State Feedback Temperature Controller for a Steel Slab Reheating Furnace. Applied Sciences. 2020; 10 (5):1731.

Chicago/Turabian Style

José Salcedo-Hernández; Raul Rivas-Perez; Javier Sotomayor-Moriano. 2020. "Design of a Robust H2 State Feedback Temperature Controller for a Steel Slab Reheating Furnace." Applied Sciences 10, no. 5: 1731.

Journal article
Published: 01 January 2020 in IFAC-PapersOnLine
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Fault detection and isolation (FDI) systems play a key role to provide efficiency, reliability and safety in today’s industrial processes. The teaching of FDI systems is facilitated if it is carried out not only with theoretical lectures but also with practical experiences. This paper proposes a virtual laboratory environment (VLE) to carry out online practical experiences with FDI systems for a benchmark process. Thanks to this VLE, students can set up faults in sensors, actuators or in the process itself, program model-based FDI algorithms and test FDI system performance. The use of this environment is illustrated by testing the performance of FDI systems for the quadruple-tank process (4TP) under different fault scenarios. Finally, the procedure of using this proposal for practical experience with two model-based FDI design methods is shown.

ACS Style

Javier Sotomayor-Moriano; Gustavo Pérez-Zúñiga; Mario Soto; Luis Enciso. Teaching Model-based Fault Detection and Isolation using a Virtual Laboratory Environment. IFAC-PapersOnLine 2020, 53, 17350 -17355.

AMA Style

Javier Sotomayor-Moriano, Gustavo Pérez-Zúñiga, Mario Soto, Luis Enciso. Teaching Model-based Fault Detection and Isolation using a Virtual Laboratory Environment. IFAC-PapersOnLine. 2020; 53 (2):17350-17355.

Chicago/Turabian Style

Javier Sotomayor-Moriano; Gustavo Pérez-Zúñiga; Mario Soto; Luis Enciso. 2020. "Teaching Model-based Fault Detection and Isolation using a Virtual Laboratory Environment." IFAC-PapersOnLine 53, no. 2: 17350-17355.

Journal article
Published: 29 October 2019 in IFAC-PapersOnLine
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For the improvement of safety and efficiency, fault diagnosis becomes increasingly important in mining industry. The expansion of flotation processes with high-tonnage cooper concentrators demands the use of large flotation circuits in which the large amount of instrumentation and interconnected subsystems (with coupled measured and non-measured variables) makes this process complex. Moreover, in a flotation process, any equipment failure can lead to a fault condition, which will affect the operation of this process. This paper proposes an approach for on-line fault diagnosis useful for a large flotation circuit based on a distributed architecture. In this approach, structural analysis is used for the design of the distributed fault diagnosis system. Finally, a procedure for the implementation of local diagnosers for on-line operation is presented and illustrated with an application to a flotation process.

ACS Style

C.G. Pérez-Zuñiga; J. Sotomayor-Moriano; E. Chanthery; L. Travé-Massuyès; M. Soto. Flotation Process Fault Diagnosis Via Structural Analysis. IFAC-PapersOnLine 2019, 52, 225 -230.

AMA Style

C.G. Pérez-Zuñiga, J. Sotomayor-Moriano, E. Chanthery, L. Travé-Massuyès, M. Soto. Flotation Process Fault Diagnosis Via Structural Analysis. IFAC-PapersOnLine. 2019; 52 (14):225-230.

Chicago/Turabian Style

C.G. Pérez-Zuñiga; J. Sotomayor-Moriano; E. Chanthery; L. Travé-Massuyès; M. Soto. 2019. "Flotation Process Fault Diagnosis Via Structural Analysis." IFAC-PapersOnLine 52, no. 14: 225-230.

Journal article
Published: 29 October 2019 in IFAC-PapersOnLine
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Industrial plants, especially on mining, metal processing, energy and chemical/petrochemical processes require integrated management of all the events that may cause accidents and translate into alarms. Process alarm management can be formulated as an event-based pattern recognition problem in which temporal patterns are used to characterize different typical situations, particularly at startup and shutdown stages. In this paper, a new layer based on a diagnosis process is proposed over the typical layers of protection in industrial processes. Considering the alarms and the actions of the standard operating procedure as discrete events, the diagnosis step relies on situation recognition to provide the operators with relevant information about the failures inducing the alarm flow. The new concept of super alarms is based on a methodology with a diagnosis step that permits generate these types of superior alarms. For example, the Chronicle Based Alarm Management (CBAM) methodology involves different techniques to take the hybrid aspect and the standard operational procedures of the concerned processes into account.

ACS Style

J.W. Vásquez; G. Pérez-Zuñiga; J. Sotomayor-Moriano; Y. Muñoz; A. Ospino. New concept of safeprocess based on a fault detection methodology: Super Alarms. IFAC-PapersOnLine 2019, 52, 231 -236.

AMA Style

J.W. Vásquez, G. Pérez-Zuñiga, J. Sotomayor-Moriano, Y. Muñoz, A. Ospino. New concept of safeprocess based on a fault detection methodology: Super Alarms. IFAC-PapersOnLine. 2019; 52 (14):231-236.

Chicago/Turabian Style

J.W. Vásquez; G. Pérez-Zuñiga; J. Sotomayor-Moriano; Y. Muñoz; A. Ospino. 2019. "New concept of safeprocess based on a fault detection methodology: Super Alarms." IFAC-PapersOnLine 52, no. 14: 231-236.

Journal article
Published: 12 September 2019 in IFAC-PapersOnLine
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This paper describes the development of a virtual laboratory environment (VLE) that allows students to perform control design practice in a virtual plant from remote locations through a web browser. The proposed VLE facilitates to learn concepts; such as, design of controllers and system identification of multivariable processes using a simulation environment, and an industrial device with a reliable model of a benchmark plant. Architecture of the VLE is explained and evidence of its use is showed. The proposed VLE represents an education tool that is user friendly, wide availability, with graphical interface capabilities and low cost maintenance, that allows to improve student skills by connecting the theory and practice.

ACS Style

Javier Sotomayor-Moriano; Gustavo Pérez-Zúñiga; Mario Soto. A Virtual Laboratory Environment for Control Design of a Multivariable Process. IFAC-PapersOnLine 2019, 52, 15 -20.

AMA Style

Javier Sotomayor-Moriano, Gustavo Pérez-Zúñiga, Mario Soto. A Virtual Laboratory Environment for Control Design of a Multivariable Process. IFAC-PapersOnLine. 2019; 52 (9):15-20.

Chicago/Turabian Style

Javier Sotomayor-Moriano; Gustavo Pérez-Zúñiga; Mario Soto. 2019. "A Virtual Laboratory Environment for Control Design of a Multivariable Process." IFAC-PapersOnLine 52, no. 9: 15-20.

Journal article
Published: 22 July 2019 in Applied Sciences
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This article addresses the design and real-time implementation of an expert model predictive controller (Expert MPC) for the control of the brackish and seawater desalination process in a pilot-scale reverse osmosis (RO) plant. This pilot-scale plant is used in order to obtain the optimal operation conditions of the RO desalination process through the implementation of different control strategies, as well as in the training of operators in the new control and management technologies. A dynamical mathematical model of this plant has been developed based on the available field data and system identification procedures. Predictions of the obtained model were in good agreement with the available field data. The designed Expert MPC is distinguished by having a plant identification block and an expert system. The expert system, using a rule-based approach and the evolution of the plant variables, can modify the plant identification block, the plant prediction model, and/or the optimizer in order to improve the performance, robustness and operational safety of the overall control system. The real-time comparison results of the designed Expert MPC and a well-designed model predictive controller (MPC) show that the proposed Expert MPC has a significantly better performance and, therefore, higher accuracy and robustness.

ACS Style

Raul Rivas-Perez; Javier Sotomayor-Moriano; Pérezzuñiga; Mario E. Soto-Angles. Real-Time Implementation of an Expert Model Predictive Controller in a Pilot-Scale Reverse Osmosis Plant for Brackish and Seawater Desalination. Applied Sciences 2019, 9, 2932 .

AMA Style

Raul Rivas-Perez, Javier Sotomayor-Moriano, Pérezzuñiga, Mario E. Soto-Angles. Real-Time Implementation of an Expert Model Predictive Controller in a Pilot-Scale Reverse Osmosis Plant for Brackish and Seawater Desalination. Applied Sciences. 2019; 9 (14):2932.

Chicago/Turabian Style

Raul Rivas-Perez; Javier Sotomayor-Moriano; Pérezzuñiga; Mario E. Soto-Angles. 2019. "Real-Time Implementation of an Expert Model Predictive Controller in a Pilot-Scale Reverse Osmosis Plant for Brackish and Seawater Desalination." Applied Sciences 9, no. 14: 2932.

Journal article
Published: 11 October 2018 in IFAC-PapersOnLine
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Centralized fault diagnosis architectures are sometimes prohibitive for large-scale interconnected systems such as distribution systems, telecommunication networks, water distribution networks, fluid power systems. This paper presents a decentralized fault diagnosis method for continuous systems that only requires the knowledge of local models and limited knowledge of their neighboring subsystems. The notion of Fault-Driven Minimal Structurally Overdetermined (FMSO) set is used as the corner stone of the design of residual generators for the design of decentralized fault diagnosis for systems that have constraints of confidentiality, distance or limited access to some information. Binary integer linear programming (BILP) is used to optimize the choice of FMSO sets in each local subsystem.

ACS Style

C.G. Pérez-Zuñiga; E. Chanthery; L. Travé-Massuyès; J. Sotomayor; C. Artigues. Decentralized Diagnosis via Structural Analysis and Integer Programming. IFAC-PapersOnLine 2018, 51, 168 -175.

AMA Style

C.G. Pérez-Zuñiga, E. Chanthery, L. Travé-Massuyès, J. Sotomayor, C. Artigues. Decentralized Diagnosis via Structural Analysis and Integer Programming. IFAC-PapersOnLine. 2018; 51 (24):168-175.

Chicago/Turabian Style

C.G. Pérez-Zuñiga; E. Chanthery; L. Travé-Massuyès; J. Sotomayor; C. Artigues. 2018. "Decentralized Diagnosis via Structural Analysis and Integer Programming." IFAC-PapersOnLine 51, no. 24: 168-175.

Conference paper
Published: 01 January 2014 in IFAC Proceedings Volumes
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This paper proposes a fractional-order PI controller for controlling the steam pressure in the steam drum of a bagasse fired boiler. The dynamics behavior of this process was experimentally identified. This identification procedure yielded an equivalent third order plus time delay model, and showed wide process static gain variations. We therefore propose a new methodology for the design of fractional-order robust controllers for this class of processes. It was shown that the attained controllers significantly outperformed the robustness achieved with current PI controllers

ACS Style

Raul Rivas-Perez; F.J. Castillo-Garcia; Javier Sotomayor-Moriano; V. Feliu-Batlle; Vicente Feliu. Design of a fractional order PI controller for steam pressure in the steam drum of a bagasse fired boiler. IFAC Proceedings Volumes 2014, 47, 1337 -1342.

AMA Style

Raul Rivas-Perez, F.J. Castillo-Garcia, Javier Sotomayor-Moriano, V. Feliu-Batlle, Vicente Feliu. Design of a fractional order PI controller for steam pressure in the steam drum of a bagasse fired boiler. IFAC Proceedings Volumes. 2014; 47 (3):1337-1342.

Chicago/Turabian Style

Raul Rivas-Perez; F.J. Castillo-Garcia; Javier Sotomayor-Moriano; V. Feliu-Batlle; Vicente Feliu. 2014. "Design of a fractional order PI controller for steam pressure in the steam drum of a bagasse fired boiler." IFAC Proceedings Volumes 47, no. 3: 1337-1342.

Journal article
Published: 01 December 2008 in Computers & Chemical Engineering
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A mathematical model that describes the dynamic behaviour of the steam pressure inside a fire-tube boiler has been obtained by using system identification techniques, due to the complexity of the firstprinciples-modelling of this process. A complete system identification procedure has been carried out, from experimental design to model validation using a laboratory-scale boiler and then ratified in an industrial-scale boiler. In both cases, the identified model is characterized by a second order linear ARMAX structure and time delay which describes with very high precision the steam pressure variation process. This model will be used for model-based control and prediction applications. The reported results show that system identification and model-based control have important roles to play in the management and intelligent use of available energetic resources.

ACS Style

Jose Renato Rodriguez Vasquez; Raul Rivas-Perez; Javier Sotomayor-Moriano; Jose Ramon Perán González. System identification of steam pressure in a fire-tube boiler. Computers & Chemical Engineering 2008, 32, 2839 -2848.

AMA Style

Jose Renato Rodriguez Vasquez, Raul Rivas-Perez, Javier Sotomayor-Moriano, Jose Ramon Perán González. System identification of steam pressure in a fire-tube boiler. Computers & Chemical Engineering. 2008; 32 (12):2839-2848.

Chicago/Turabian Style

Jose Renato Rodriguez Vasquez; Raul Rivas-Perez; Javier Sotomayor-Moriano; Jose Ramon Perán González. 2008. "System identification of steam pressure in a fire-tube boiler." Computers & Chemical Engineering 32, no. 12: 2839-2848.

Conference paper
Published: 01 January 2008 in IFAC Proceedings Volumes
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The urgent requirement to optimize the consumption of energetic resources justifies the application of advanced control strategies to automate equipment that consumes higher amounts of fossil fuels, among them the fire-tube boilers. From a control engineering point of view, these systems are characterized by a difficult dynamic behavior, multiple inputs and outputs, time delay and several uncertainties. In this work an advanced control system with an Adaptive-GPC algorithm of the steam pressure inside a fire-tube boiler is presented. System identification techniques were employed to obtain a mathematical model that characterizes the dynamic behavior of the process under study. Simulation results evidenced that this model describes with high exactitude the process of steam pressure variation inside the boiler. The model obtained was subsequently used to design the advanced control system. The system was implemented in a utility fire-tube boiler and the results showed its efficiency to deal with variations of the dynamic parameters of the process arisen at different operating conditions. It also showed its superiority against a control system using a PID algorithm.

ACS Style

J.R. Rodriguez Vasquez; R. Rivas Perez; J.J. Sotomayor Moriano; J.R. Peran González. Advanced control system of the steam pressure in a fire-tube boiler. IFAC Proceedings Volumes 2008, 41, 11028 -11033.

AMA Style

J.R. Rodriguez Vasquez, R. Rivas Perez, J.J. Sotomayor Moriano, J.R. Peran González. Advanced control system of the steam pressure in a fire-tube boiler. IFAC Proceedings Volumes. 2008; 41 (2):11028-11033.

Chicago/Turabian Style

J.R. Rodriguez Vasquez; R. Rivas Perez; J.J. Sotomayor Moriano; J.R. Peran González. 2008. "Advanced control system of the steam pressure in a fire-tube boiler." IFAC Proceedings Volumes 41, no. 2: 11028-11033.

Conference paper
Published: 01 January 2007 in IFAC Proceedings Volumes
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A model describing the dynamic behavior of the steam pressure inside a fire-tube boiler has been obtained using system identification techniques. A complete system identification procedure has been carried out, from experimental design to model validation using a lab-scale boiler and then ratified in an industrial-scale boiler. In both cases, the identified model is characterized by a second order ARMAX structure which describes with very high precision the process under study. This model will be used for control and prediction applications. First control simulation results are also presented.

ACS Style

Rodriguez J.R. Vasquez; Rivas R. Perez; Sotomayor J. Moriano. SYSTEM IDENTIFICATION OF THE STEAM PRESSURE VARIATION PROCESS INSIDE A FIRE-TUBE BOILER. IFAC Proceedings Volumes 2007, 40, 232 -237.

AMA Style

Rodriguez J.R. Vasquez, Rivas R. Perez, Sotomayor J. Moriano. SYSTEM IDENTIFICATION OF THE STEAM PRESSURE VARIATION PROCESS INSIDE A FIRE-TUBE BOILER. IFAC Proceedings Volumes. 2007; 40 (1):232-237.

Chicago/Turabian Style

Rodriguez J.R. Vasquez; Rivas R. Perez; Sotomayor J. Moriano. 2007. "SYSTEM IDENTIFICATION OF THE STEAM PRESSURE VARIATION PROCESS INSIDE A FIRE-TUBE BOILER." IFAC Proceedings Volumes 40, no. 1: 232-237.