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Comparative study of inversion-based and observer-based approaches for fault diagnosis in DC-DC converters
(2017-07-07)
Recently, model-based approaches have been proposed for fault diagnosis as an emerging alternative to traditional techniques. Particularly, the inversion-and observer-based were proposed for fault diagnosis as successful ...
A nonlinear binary programming model for fault section estimation in electric power systems
(2017-07-01)
This paper proposes a method to solve the fault section estimation (FSE) problem in power systems by developing a nonlinear binary programming model using the AMPL mathematical programming language. This model is developed ...
A Nonlinear Binary Programming Model for Fault Section Estimation in Electric Power Systems
(Ieee, 2017-01-01)
This paper proposes a method to solve the fault section estimation (FSE) problem in power systems by developing a nonlinear binary programming model using the AMPL mathematical programming language. This model is developed ...
Time-frequency analysis combining wavelets and the envelope technique for fault identification in rotary machines
(2013-03-18)
Nowadays the method based on demodulation by envelope finds wide application in industry as a technique for evaluation of bearings and other components in rotating machinery. In recent years the application of Wavelets for ...
A binary integer linear programming model for fault section estimation in electric power systems
(2019-11-01)
A new method, based on binary integer programming, to solve the problem of fault section estimation in power systems is developed in this work. This optimization model is formulated based on a set of minimum covers, subject ...
A Binary Integer Linear Programming Model for Fault Section Estimation in Electric Power Systems
(Ieee, 2019-01-01)
A new method, based on binary integer programming, to solve the problem of fault section estimation in power systems is developed in this work. This optimization model is formulated based on a set of minimum covers, subject ...
Diagnosis of Bearing Faults in Induction Motors By Vibration Signals - Comparison of Multiple Signal Processing Approaches
(Ieee, 2015-01-01)
Early detection of faults in the bearings of electric motors is vital to reduce maintenance costs of industrial motors. Vibration signal analysis is a well-known and widely used diagnostic approach for bearing fault ...
Diagnosis of bearing faults in induction motors by vibration signals-Comparison of multiple signal processing approaches
(2015-01-01)
Early detection of faults in the bearings of electric motors is vital to reduce maintenance costs of industrial motors. Vibration signal analysis is a well-known and widely used diagnostic approach for bearing fault ...
Detection and phase identification of inter-turn short-circuit faults in three-phase induction motors using MEMS accelerometer and Hilbert transform
(2021-08-15)
Three-phase induction motors (TIMs) play a key role in the industrial scenario. Due to their robustness, low cost, and efficiency, TIMs have been increasingly used in industrial applications, making them the main source ...
A Modified Negative Selection Algorithm Applied in the Diagnosis of Voltage Disturbances in Distribution Electrical Systems
(Ieee, 2015-01-01)
This paper presents a modified negative selection algorithm for the diagnosis of disturbance in distribution electrical systems. This study analyzes voltage disturbances and high-impedance faults, based on three phase ...