Rotor fault detection algorithm based on a new fault indicator for induction motors fed from an industrial frequency inverter

2015 ◽  
Vol 47 (2) ◽  
pp. 483-502 ◽  
Author(s):  
Mohamed Sahraoui ◽  
Adel Ghoggal ◽  
Salah Eddine Zouzou ◽  
Salim Guedidi
Keyword(s):  
Fault Detection ◽  
Induction Motors ◽  
Detection Algorithm ◽  
Fault Indicator ◽  
Frequency Inverter ◽  
Industrial Frequency

Model-based fault diagnosis of induction motor eccentricity using particle swarm optimization

2008 ◽  
Vol 223 (3) ◽  
pp. 607-615 ◽  
Author(s):  
A Nikranjbar ◽  
M Ebrahimi ◽  
A S Wood
Keyword(s):  
Particle Swarm Optimization ◽  
Fault Detection ◽  
Induction Motors ◽  
Particle Swarm ◽  
Detection Algorithm ◽  
Fault Detection And Diagnosis ◽  
Adaptive Synchronization ◽  
Swarm Optimization ◽  
Model Based ◽  
Model Free

Much research works address model-free or signal processing and spectral analysis-based fault detection schemes for rotor eccentricity fault in induction motors. Nevertheless, despite existing reliable fault-embedded eccentricity mathematical models such as the winding function method an integrated model-based fault detection algorithm for detecting this fault yet has not been fully explored. This article presents model-based mixed-eccentricity fault detection and diagnosis for induction motors. The proposed algorithm can successfully detect faults and their severity using stator currents. To determine the values of the fault-related parameters, an adaptive synchronization-based parameter estimation algorithm is introduced using particle swarm optimization. Simulation and experiments demonstrate the ability of the algorithm to detect and diagnose these faults. The proposed algorithm can be employed to estimate the parameters, in addition to slowly time varying and abruptly changing parameters.

FAULT DETECTION ALGORITHM FOR TEMPERATURE SENSORS OF HOUSEHOLD REFRIGERATORS

2017 ◽  
Author(s):  
Everton Machado ◽  
Alexsandro Santos Silveira ◽  
Alexandre Trofino ◽  
claudio melo
Keyword(s):  
Fault Detection ◽  
Detection Algorithm ◽  
Temperature Sensors

Fault Detection of Induction Motors Using Just In Time Classifiers

2021 ◽  
Author(s):  
Saaeede Hazbavi ◽  
Roozbeh Razavi-Far ◽  
Mohammad Mehdi Arefi ◽  
Alireza Khayatian ◽  
Mehrdad Saif
Keyword(s):  
Fault Detection ◽  
Induction Motors ◽  
Just In Time
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