Jordi Cusido

Jordi Cusido
Universitat Politècnica de Catalunya | UPC · Department of Project Management

Ph.D.

About

71
Publications
47,452
Reads
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2,092
Citations
Citations since 2017
14 Research Items
920 Citations
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2017201820192020202120222023050100150
2017201820192020202120222023050100150
Introduction
Machine learning, Deep Learning, Artificial Intelligence, Renewables, Wind Power, PV Solar, Power Electronics, Power Converters, Electric Vehicles, More Electrical Aircraft, Big Data, Data Analytics, BlockChain, Micro grids, Digital Transformation, Digital Energy, Digital Health, mHealth

Publications

Publications (71)
Article
Full-text available
Having an increasing number of patients in the emergency department constitutes an obstacle to the admissions process and hinders the emergency department (ED)’s ability to deal with the continuously arriving demand for new admissions. In addition, forecasting is an important aid in many areas of hospital management, including elective surgery sche...
Article
Full-text available
In this paper, the time variation of signals from several SCADA systems of geographically closed turbines are analysed and compared. When operating correctly, they show a clear pattern of joint variation. However, the presence of a failure in one of the turbines causes the signals from the faulty turbine to decouple from the pattern. From this info...
Article
Full-text available
SCADA operating data are more and more used across the wind energy domain, both as a basis for power output prediction and turbine health status monitoring. Current industry practice to work with this data is by aggregating the signals at coarse resolution of typically 10-min averages, in order to reduce data transmission and storage costs. However...
Article
Full-text available
Wind energy is a form of renewable energy with the highest installed capacity. However, it is necessary to reduce the operation and maintenance costs and extend the lifetime of wind turbines to make wind energy more competitive. This paper presents a power-derating-based Fault-Tolerant Control (FTC) model in 2 MW three-bladed wind turbines implemen...
Article
Full-text available
The goal of this paper is to develop, implement, and validate a methodology for wind turbines’ main bearing fault prediction based on an ensemble of an artificial neural network (normality model designed at turbine level) and an isolation forest (anomaly detection model designed at wind park level) algorithms trained only on SCADA data. The normal...
Preprint
Full-text available
Citation: Beretta, M.; Julian, A.; Sepulveda, J.; Cusidó, J.; Porro, O. Title. Sensors 2021, 1, 0. https://doi.org/
Article
Full-text available
A novel and innovative solution addressing wind turbines’ main bearing failure predictions using SCADA data is presented. This methodology enables to cut setup times and has more flexible requirements when compared to the current predictive algorithms. The proposed solution is entirely unsupervised as it does not require the labeling of data throug...
Article
This article describes a mobile application ("KickO") for helping people with obesity to achieve their therapeutic goals.
Article
Objective The current multicentre randomized controlled trial assessed the clinical efficacy of a combined mHealth intervention for eating disorders (EDs) based on cognitive behavioral therapy (CBT). Method A total of 106 ED patients from eight different public and private mental health services in Spain were randomly assigned to two parallel grou...
Article
Full-text available
Detecting and determining which systems or subsystems of a wind turbine have more failures is essential to improve their design, which will reduce the costs of generating wind power. Two of the most critical failures, the generator and gearbox, are analyzed and characterized with four metrics. This failure analysis usually begins with the identific...
Article
Full-text available
It is well known that each year the wind sector has profit losses due to wind turbine failures and operation and maintenance costs. Therefore, operations related to these actions are crucial for wind farm operators and linked companies. One of the key points for failure prediction on wind turbine using SCADA data is to select the optimal or near op...
Article
Full-text available
Abstract The wind sectors pends roughly 2200M€ in repair the wind turbines failures. These failures do not contribute to the goal of reducing greenhouse gases emissions. The 25–35% of the generation costs are operation and maintenance services. To reduce this amount, the wind turbine industry is backing on the Machine Learning techniques over SCADA...
Article
Full-text available
Background: Identifying the health status of wind turbines becomes critical to reduce the impact of failures on generation costs (between 25-35%). This is a time-consuming task since a human expert has to explore turbines individually. Methods: To optimize this process, we present a strategy based on Self Organizing Maps, clustering and a further g...
Article
Full-text available
In this paper, a new method for modeling converter-based power generators in ac-distributed systems is proposed. It is based on the concept of electrostatic synchronous machines. With this new concept, it is possible to establish a simple relationship between the dc and ac side and to study stability in both the small and large signals of the micro...
Article
Full-text available
This paper presents a phase-plane trajectory analysis and the appliance of Lyapunov's methodology to evaluate the stability limits of a small signal model of a Microgrid system. The work done is based on a non-linear tool and several computer simulations. The study indicates how to analyze a Microgrid system that is subjected to a severe transient...
Conference Paper
A new mathematical model of a renewable generator, with a DC-AC interface, based on the concept of electrostatic machine is presented. This new model has a direct relationship between the DC and AC side. Moreover, it can be used for stability studies, taking into account the dynamics of the DC link and to find saturations and limits on the control...
Article
Full-text available
For a massive introduction of electric vehicles to the market is required to have a reliable infrastructure. The Infrastructure needs includes enough charging stations around cities and electric parking lots. Currently the grid is able to support the electric consumption and hardly support recharging the fleet of electric vehicles. Likewise, the pu...
Article
Full-text available
Double frequency tests are used for evaluating stator windings and analyzing the temperature. Likewise, signal injection on induction machines is used on sensorless motor control fields to find out the rotor position. Motor Current Signature Analysis (MCSA), which focuses on the spectral analysis of stator current, is the most widely used method fo...
Article
Full-text available
Distributed generators systems and Microgrid are becoming more important to increase the renewable energy penetration in the public utility. This paper presents a mathematical model for connected inverters in Microgrid systems with large range variations in operating conditions. No-lineal tools and computer simulations, phase-plane trajectory analy...
Article
Electromagnetic contactors have a non-linear behavior due to the magnetic force. This paper develops a robust and low time-consuming parametric model to describe the dynamic behavior of both AC and DC contactors. The proposed model solves simultaneously the mechanic, electric and magnetic coupled differential equations that govern its dynamic respo...
Conference Paper
Full-text available
In this paper works with no-lineal tool and computer simulations, phase-plane trajectory analysis and method of Lyapunov for evaluate the limits of the small signal models and suggest to utilize models that can permit the analysis of the system when subjected to a severe transient disturbance.
Conference Paper
In this paper, the wear of the suspensions in a speaker. This phenomenon can be characterized and seen as a variation of half inductance seen from the amplifier, because that value depends directly on the minimum and maximum excursion in the displacement of the moving coil. Having analyzed the possible cases of involvement of the shift from worn su...
Article
A new technique for induction motor fault detection and diagnosis is presented. This technique, which has been experimentally verified in stationary and non-stationary motor conditions, is based on the convolution of wavelet-based functions with motor stator currents. These functions are tuned to specific fault frequencies taking into account motor...
Conference Paper
Full-text available
The present work shows a condition monitoring system applied to detect Fault Condition in EMA Systems. Removal of the engine hydraulic pumps requires fully-operative electrical power actuators and mastery of the flight control architecture. However, unexpected faults and lack of safety hinder the massive use of EMAs in flight control actuators and...
Article
Permanent magnet synchronous motors (PMSMs) are applied in high performance positioning and variable speed applications because of their enhanced features with respect to other AC motor types. Fault detection and diagnosis of electrical motors for critical applications is an active field of research. However, much research remains to be done in the...
Article
Full-text available
The undesirable phenomenon of the contact bounce causes severe erosion of the contacts and, as a consequence, their electrical life and reliability are greatly reduced. On the other hand, the bounce of the armature can provoke re-opening of the contacts, even when they have already been closed. This paper deals with the elimination of the bounce in...
Article
The introduction of EMA Systems requires the use of redundant inverters to drive the EMA and ensure reliability and safety. Redundant converters allow the implementation of fault tolerant control and high quality operation. Fault control has been implemented by means of redundant converter and fault detection system.
Article
Motor current signature analysis has been successfully used for fault diagnosis in induction machines. However, this method does not always achieve good results with variable load torque. This paper proposes a different signal processing method, which combines wavelet and power spectral density techniques giving the power detail density as a fault...
Article
Full-text available
This paper presents a novel method to diagnose demagnetization in permanent-magnet synchronous motor (PMSM). Simulations have been performed by 2-D finite-element analysis in order to determine the current spectrum and the magnetic flux distribution due to this failure. The diagnostic just based on motor current signature analysis can be confused b...
Conference Paper
Full-text available
The present work shows a condition monitoring system applied to electric motors ball bearings. Unlike most of the previous work on this area, which is mainly focused on the location of single-point defects in bearing components - inner and outer races, cage or ball faults -, this research covers wide range irregularities which are very often more d...
Article
Full-text available
The concept of a "More Electric Aircraft" (MEA) leads, among other actions, to the substitution of hydraulic-based actuators for Electro-Mechanical Actuators (EMA). Removal of the engine hydraulic pumps requires fully-operative electrical power actuators and mastery of the flight control architecture. However, unexpected faults and lack of safety h...
Article
Full-text available
This paper presents a new approach for the current acquisition system in motor fault detection applications. This paper includes the study, design, and implementation of a Rogowski-coil current sensor without the integrator circuit that is typically used. The circuit includes an autotuning block able to adjust to different motor speeds. Equalizing...
Conference Paper
Main cause for bearing failure are the common mode circulating currents. Those currents appear due to the use of inverters to drive electric motors. This paper presents a new method for fault detection by measuring common-mode currents. It is also presented the development of an electronic device which allows fault detection. The development has be...
Conference Paper
The undesirable phenomenon of the contact bounce causes severe erosion of the contacts and, as a consequence, their electrical life and reliability are greatly reduced. On the other hand, the bounce of the armature can provoke re-opening of the contacts, even when they have already closed. This paper deals with the elimination of the bounce in both...
Conference Paper
Full-text available
For many decades, electromechanical contactors have been widely used in the industry, and over 80% are equipped with AC powered coils. Electromechanical contactors have the drawback of the mechanical movement of some of their parts and the wear related with it. This movement causes the contacts to impact during closure, producing a bouncing of the...
Article
This paper describes a novel algorithm for a closed-loop sensorless control of electromagnetic devices. It integrates a novel fault diagnosis algorithm of the whole electromagnetic circuit. Applied to a contactor with a dc core, it eliminates the armature and contact bounce, whether it is ac or dc powered and at either 50 or 60 Hz. The position and...
Article
Full-text available
There is a general trend in the aerospace industry toward increasing the use of electrically-powered equipment. This trend is usually referred to as "Power-by-Wire" in the "More Electric Aircraft" (MEA) concept and it leads, among others, to the substitution of hydraulic actuators by electro-mechanical actuators (EMA). Its benefits are a decrease i...
Conference Paper
Full-text available
This paper presents the study, design and application of a Rogowski coil current sensor without the integrator circuit that is typically used. This sensor is used as current probe for fault detection in induction motors by means of motor current signal analysis (MCSA).
Conference Paper
In this paper is presented a new technique to avoid the distortion generated due to mid point voltage variations on DC-bus of class-D half bridge audio amplifiers. An usual distortion source on class-D amplifier is the bus-pumping effect. Bus-pumping causes characteristic distortion and introduces attenuation on output gain. Due to this effect the...
Conference Paper
Permanent magnet synchronous motors (PMSM) are extensively used in high-performance industrial applications. The electromagnetic torque in a PMSM is proportional to the angle between the stator and rotor flux linkages. Therefore, high dynamic response can be achieved by means of direct torque control (DTC). The main advantage of DTC is its structur...
Conference Paper
Full-text available
This paper presents permanent magnet synchronous machines with short circuit of turns. Two-dimensional (2-D) finite element analysis (FEA) is used to simulation of PMSM under fault. PMSM is working at nominal condition and speed change of 5000 rpm. Relationships between stator-current-induced harmonics were investigated by means of Fourier (FFT) an...
Article
Full-text available
This paper presents a rigorous model to simultaneously solving the mechanic and electromagnetic coupled differential equations which govern the dynamic response of the contactor. The model is validated with data obtained experimentally and therefore the accuracy of the model is validated. On the other hand, an estimator of the position and the velo...
Conference Paper
Full-text available
This paper presents the study of permanent magnet synchronous machines (PMSM) running with eccentricity and bearings damage. The objective is to detect and identify the fault through the current signature analysis. The stator current has been analyzed by means of both Fourier (FFT) and Discrete Wavelet (DWT) transforms. Simulations have been carrie...
Article
Full-text available
Motor-current-signature analysis has been successfully used in induction machines for fault diagnosis. The method, however, does not always achieve good results when the speed or the load torque is not constant, because this causes variations on the motor-slip and fast Fourier transform problems appear due to a nonstationary signal. This paper prop...
Conference Paper
Full-text available
This paper presents a study of a permanent magnet synchronous machine (PMSM) running under demagnetization. The demagnetization fault is analyzed through stator currents analysis and processing tools at different speeds. Advanced signal analysis by means of wavelet transforms is presented. Simulations were carried out by using two dimensional (2-D)...
Conference Paper
Full-text available
This paper presents a study of permanent magnet synchronous machines (PMSM) with bearing fault using a two-dimensional (2-D) finite element analysis (FEA). Fourier fast and wavelet transform were used to fault detection of bearing damage under stationary and non stationary working conditions. Simulation were carried out and compared with experiment...
Conference Paper
Full-text available
This paper presents a study of eccentricity fault detection in permanent magnet synchronous machines (PMSM), under dynamic conditions. The fault simulation was made by means of two-dimensional (2-D) finite element analysis (FEA). Joint time - frequency transforms, as Wigner Ville distribution (WVD) and Zao-Atlas-Marks distribution, were proposed fo...
Conference Paper
Full-text available
This paper presents a study of the permanent magnet synchronous motor (PMSM) running under demagnetization. The simulation has been carried out by means of two dimensional (2-D) finite element analysis (FEA), and simulations results were compared with experimental results. The demagnetization fault is analyzed by means of decomposition of stator cu...
Conference Paper
Full-text available
This paper presents and analyzes short circuit failures for permanent magnet synchronous motor (PMSM). The study includes speed transients in realistic experimental conditions. The stator current is analyzed by means of time-frequency spectral distribution (SP), Wigner Ville distribution (WD) and Analytical Wavelet Transform (AWT); also, the ruts v...
Conference Paper
Induction machines operated by inverter use to present efficiency decrease and sometimes present additional rotor and stator fault. FEM has been used for faulty motor simulation and shows results of motor fault effects. Experimental results corroborate the simulation and theoretical effects.
Conference Paper
Full-text available
Motor current signature analysis has been successfully used in induction machines for fault diagnosis. The method, however, does not always achieve good results when the load torque is not constant. For proper results, temporal analysis on certain frequency harmonics is needed. This paper proposes an automatic system for fault analysis based on wav...
Conference Paper
Full-text available
This paper examines winding faults as short circuit for permanent magnet synchronous motor (PMSM). The study is carried out by means of stator current harmonic analysis. dq0 current transformation is also used to diagnose the state of the machine, and Wavelet approach is proposed to extend the analysis to the transitory of the failure. Experimental...
Conference Paper
Full-text available
This work is an approach to develop new and reliable tools in order to diagnose mechanical faults in PMSM motors under non constant working conditions. These kinds of faults (especially damaged bearings) are more present in the industry. The paper presents a theoretical overview of the different techniques for a joint time frequency analysis and an...
Conference Paper
Full-text available
This research develops a temperature control that may be used for the design of an aluminium moulding machine taking into account the dynamics of the thermal behaviour. Therefore an implementation of a temperature's acquisition system in a foundry's mould is presented in order to obtain a more precise mathematic model. Thanks to this information we...
Conference Paper
Full-text available
Motor current signature analysis has been successfully used in induction machines for fault diagnosis. The method however does not always achieve good results when the load torque is not constant. For proper results temporal analysis on determined frequency harmonics is needed. This paper proposes an automatic system for fault analysis based on wav...
Conference Paper
Full-text available
This article studies the permanent magnet demagnetization fault in permanent magnet synchronous machines (PMSM). The study is carried out by analyzing the harmonics obtained using the fast Fourier transform (FFT) of stator and zero sequence currents at nominal torque for the whole range of machine operation speeds. The appropriate combination of an...
Conference Paper
Full-text available
The paper presents an experimental study of the broken bearings and eccentricity faults detection for a permanent magnet synchronous motor (PMSM). Conclusions are obtained from the analysis of the stator current harmonic spectrum. The analysis is spread to a zero component and q axis component of the stator current, for the whole range of rotor spe...
Conference Paper
The permanent magnet synchronous motors (PMSM) are extensively used in high-performance industrial applications. The electromagnetic torque in a PMSM is proportional to the angle between the stator and rotor flux linkages. Therefore, high dynamic response can be achieved by means of direct torque control (DTC). However, because the rotor flux linka...
Conference Paper
Full-text available
Condition monitoring methods for the dynamic performance analysis of electrical drives received considerable attention in recent years. Many of these methods use vibration sensors based on proximity probes. However, it has been suggested that stator current monitoring can provide the same indications without requiring access to the motor. Motor cur...
Conference Paper
Full-text available
Early detection of interturn shorts during motor operation would eliminate consequential damage to adjacent coils and the stator core, then reducing repair costs and motor outage time. In addition to the benefits gained from early detection of turn insulation breakdown, significant advantages would accrue by locating the faulted coil within the sta...
Conference Paper
Full-text available
Motor current signature analysis has been successfully used in induction machines for fault diagnosis. The method however does not always achieve good results when the load torque is not constant. This paper proposes a new approach to motor fault detection, by analyzing the spectrogram and further combination of wavelet and power spectral density t...
Conference Paper
Motor current signature analysis has been successfully used for fault diagnosis in induction machines. However this method does not always achieve good results with not constant load torque. This paper proposes a different signal processing method, by combination of wavelet and power spectral density techniques. It presents good theoretical and exp...
Conference Paper
Full-text available
Double frequency tests are used for evaluating stator windings analyzing the temperature. Likewise, signal injection on induction machines is used on sensorless motor control fields to find out the rotor position. Motor current signature analysis (MCSA) is the most widely used method for identifying faults in induction motors. MCSA focuses its effo...
Article
Full-text available
El objetivo final de esta experiencia es mejorar la docencia impartida por el Departamento de Ingeniería Electrónica en el Campus de Terrassa de la UPC en el área de microprocesadores. La mejora tiene dos ejes fundamentales, por un lado coordinar los contenidos y los métodos docentes en las asignaturas de primer y segundo ciclo y por otro dotar de...
Conference Paper
Double frequency tests are used for evaluating stator windings analyzing the temperature. Likewise, signal injection on induction machines is a well-known technique on sensorless motor control fields to find out the rotor's position. Motor current signature analysis (MCSA) is the most widely used method for identifying faults in induction motors. M...