- Machine Fault Diagnosis Techniques
- Electric Motor Design and Analysis
- Magnetic Properties and Applications
- Magnetic Bearings and Levitation Dynamics
- Fault Detection and Control Systems
- Gear and Bearing Dynamics Analysis
- Sensorless Control of Electric Motors
- Non-Destructive Testing Techniques
- Multilevel Inverters and Converters
- Electrical Contact Performance and Analysis
- Power Transformer Diagnostics and Insulation
- Engineering Diagnostics and Reliability
- Magnetic Field Sensors Techniques
- Induction Heating and Inverter Technology
- Elevator Systems and Control
- Structural Health Monitoring Techniques
- Energy Load and Power Forecasting
- Thermal Analysis in Power Transmission
- Smart Grid Energy Management
- Experimental Learning in Engineering
- Lightning and Electromagnetic Phenomena
- E-Learning and Knowledge Management
- Power Quality and Harmonics
- Advanced MEMS and NEMS Technologies
- Silicon Carbide Semiconductor Technologies
Universidad Politécnica de Baja California
2025
Universitat Politècnica de Catalunya
2014-2024
Centro de Investigación Docencia y Consultoria Administrativa
2021
University of Glasgow
2017
Fundació CTM Centre Tecnològic
2016
University of Puerto Rico-Mayaguez
2016
International Rescue Committee
2013
Universitat de Barcelona
2010
Motion Control (United States)
2008
First Technical University
2007
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> 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 load torque is constant, because this causes variations on motor-slip and fast Fourier transform problems appear due to a nonstationary signal. This paper proposes new method motor detection, which analyzes spectrogram...
Bearing degradation is the most common source of faults in electrical machines. In this context, work presents a novel monitoring scheme applied to diagnose bearing faults. Apart from detecting local defects, i.e., single-point ball and raceway faults, it takes also into account detection distributed such as roughness. The development diagnosis methodologies considering both kinds is, nowadays, subject concern fault First, method analyzes significant statistical-time features calculated...
This paper develops and analyzes a parametric model for simulating healthy faulty surface-mounted permanent magnet synchronous motors. It allows studying the effects of stator winding interturn short-circuit faults. A relevant feature developed is that it deals with spatial harmonics due to nonsinusoidal rotor configuration. Additionally, proposed valid behavior these machines running under nonstationary conditions, including load or speed variations. Stator current spectra obtained from...
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 order determine the current spectrum and magnetic flux distribution due this failure.The diagnostic just based on signature can be confused eccentricity failure because harmonic content is same.Moreover, it only applied under stationary conditions.In overcome these drawbacks, used upon Hilbert-Huang transform.It represents...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper presents the results of our study permanent-magnet synchronous motor (PMSM) running under demagnetization. We examined effect demagnetization on current spectrum PMSMs with aim developing an effective condition-monitoring scheme. Harmonics stator currents induced by fault conditions are examined. Simulation means a two-dimensional finite-element analysis (FEA) software package and...
This paper presents a methodology for feature extraction of new fault indicator focused on detecting demagnetization faults in surface-mounted permanent-magnet synchronous motors operating under nonstationary conditions. Preprocessing transient-current signals is performed by applying Choi-Williams distribution to highlight the salient features this fault. In paper, fractal dimension calculation based computation box-counting method extract optimal diagnosis purposes. It must be noted that...
This paper presents a novel method for the energy optimization of multi-carrier systems. The presented combines an adaptive neuro-fuzzy inference system, to model and forecast power demand plant, genetic algorithm optimize its flow taking into account dynamics system equipment's thermal inertias. objective is satisfy total plant minimize set criteria, formulated as usage, monetary cost, environmental cost. has been validated under real conditions in car manufacturing SEAT Spain framework FP7...
This study presents a range optimization of synchronous reluctance motor and permanent-magnet-assisted according to standard driving cycle, the solutions obtained are compared. The proposed approach avoids use finite-element analysis during process, thus greatly reducing time required obtain optimal solution. paper validates motors in different domains, since methodology takes into account multiphysics design. Using two coupled thermal networks, all possible working points torque-speed plane...
During the last years, different methods for identifying permanent magnet synchronous motor (PMSM) parameters have been developed. Such allow a better characterization of PMSMs, thus enabling control. This article presents novel PMSM parameter estimation method based on differential power factor due to harmonic distortion, which allows identification from data acquisitions representing entire torque-speed range. does not require measuring any geometric parameters, avoiding disassembly, or...
This article studies the permanent magnet demagnetization fault in synchronous machines (PMSM). The study is carried out by analyzing harmonics obtained using fast Fourier transform (FFT) of stator and zero sequence currents at nominal torque for whole range machine operation speeds. appropriate combination analyses on different makes it possible to determine faults any speed
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 analysis stator current harmonic spectrum. is spread to zero component q axis current, whole range rotor speeds
This work is an approach to develop new and reliable tools in order diagnose mechanical faults PMSM motors under non constant working conditions. These kinds of (especially damaged bearings) are more present the industry. The paper presents a theoretical overview different techniques for joint time frequency analysis experimental study detection diagnosis bearings on permanent magnet synchronous motor (PMSM). experiments were performed with variable rotor speed such way that conventional...
We present a new 2-D FEM-based system for analyzing permanent-magnet surface-mounted synchronous machines with skewed rotor magnets. The is based on generating geometric equivalent non-skewed distribution that accounts the of practical rotor. An appealing feature proposed it can be easily performed in any electromagnetic FEM package by performing simple change geometry Attributes method presented here include simplicity, high accuracy, low computational burden, and speed compared to 3-D...
This paper proposes a design process of permanent magnet assisted synchronous reluctance motors (PMa-SynRM) intended for vehicular propulsion. approach takes into account range optimization and multiphysics evaluation without the use finite element analysis during electro-magnetic-thermal stage. The is based on predesign stage to calculate first approximation motor dimensions. geometry obtained in step used initialize genetic algorithm process, which evaluates different designs by means...
We propose a new closed-loop sensorless method for reducing contact bounce on closure of contactor. Several approaches to the problem have already been described; most them use some kind sensor establish position and speed contacts in real time, whereas our approach, moving armature are calculated by using only current voltage values contactor coil as control inputs. A fuzzy controller takes input velocity provides output an intensity set point that controls contacts. Furthermore, we...
This paper presents the study of permanent magnet synchronous machines (PMSM) running with eccentricity and bearings damage. The objective is to detect identify fault through current signature analysis. stator has been analyzed by means both Fourier (FFT) Discrete Wavelet (DWT) transforms. Simulations have carried out a two-dimensional (2-D) finite element analysis (FEA), they also compared experiments. results prove that method proposed can be used mechanical faults in PMSM.
The concept of a "More Electric Aircraft" (MEA) leads, among other actions, to the substitution hydraulic-based actuators for Electro-Mechanical ACtuators (EMA).
Double frequency tests are used for evaluating stator windings and analyzing the temperature. Likewise, signal injection on induction machines is sensorless motor control fields to find out rotor position. Motor Current Signature Analysis (MCSA), which focuses spectral analysis of current, most widely method identifying faults in motors. such as broken bars, bearing damage eccentricity axis can be detected. However, presents some problems at low speed torque, mainly due proximity between...
Power transformers are devices with non-linear behavior due to the saturation of ferromagnetic core. When modelling such devices, effect must be taken into account because it greatly affects their performance and efficiency. In this paper, an electromagnetic model for power is proposed experimentally validated using electrical T-model coupled a reluctance network magnetic part. The circuit linked by two B–H approaches. relationships modelled full hysteresis cycle based on inverse...