Induction motor broken rotor bar fault detection techniques based on fault signature analysis–a review

OE Hassan, M Amer, AK Abdelsalam… - IET Electric Power …, 2018 - Wiley Online Library
The induction motor is the most popular motor in energy conversion and industrial drive
systems. This popularity is due to its robustness, low cost, and easy maintenance. Electrical …

[HTML][HTML] Broken rotor bar fault diagnosis techniques based on motor current signature analysis for induction motor—A review

S Halder, S Bhat, D Zychma, P Sowa - Energies, 2022 - mdpi.com
The most often used motor in commercial drives is the induction motor. While the induction
motor is operating, electrical, thermal, mechanical, magnetic, and environmental stresses …

Methodology for fault detection in induction motors via sound and vibration signals

PA Delgado-Arredondo, D Morinigo-Sotelo… - … Systems and Signal …, 2017 - Elsevier
Nowadays, timely maintenance of electric motors is vital to keep up the complex processes
of industrial production. There are currently a variety of methodologies for fault diagnosis …

A method for detecting half-broken rotor bar in lightly loaded induction motors using current

A Naha, AK Samanta, A Routray… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper presents an effective method of motor current signature analysis for detecting half-
as well as full broken single rotor bar fault of a squirrel-cage induction machine under …

An on-line condition monitoring system for incipient fault detection in double-cage induction motor

MA Hmida, A Braham - IEEE Transactions on instrumentation …, 2018 - ieeexplore.ieee.org
This paper presents a complete on-line condition monitoring system (CMS) designed to
detect incipient broken rotor bar (BRB) fault in double-cage induction motor (DCIM) using …

Detecting broken rotor bars in induction motors with model-based support vector classifiers

MO Mustafa, D Varagnolo, G Nikolakopoulos… - Control Engineering …, 2016 - Elsevier
We propose a methodology for testing the sanity of motors when both healthy and faulty data
are unavailable. More precisely, we consider a model-based Support Vector Classification …

[HTML][HTML] Effective rotor fault diagnosis model using multilayer signal analysis and hybrid genetic binary chicken swarm optimization

CY Lee, GL Zhuo - Symmetry, 2021 - mdpi.com
This article proposes an effective rotor fault diagnosis model of an induction motor (IM)
based on local mean decomposition (LMD) and wavelet packet decomposition (WPD) …

Description of multi-periodic signals generated by complex systems: NOCFASS-New possibilities of the Fourier analysis

RR Nigmatullin, VS Alexandrov, P Agarwal… - … Algebra, Control and …, 2024 - aimsciences.org
Here, we show how to extend the possibilities of the conventional F-analysis and adapt it for
quantitative description of multi-periodic signals recorded from different complex systems …

Rolling bearing feature frequency extraction using extreme average envelope decomposition

K Shi, S Liu, C Jiang, H Zhang - Chinese Journal of Mechanical …, 2016 - Springer
The vibration signal contains a wealth of sensitive information which reflects the running
status of the equipment. It is one of the most important steps for precise diagnosis to …

Aportaciones al diagnóstico de averías en motores eléctricos basados en el análisis avanzado de corrientes

JÁ Corral Hernández - 2018 - riunet.upv.es
Segons diversos estudis, les fallades més comunes en motors d'inducció són les fallades en
rodaments, les fallades en l'aïllament del debanament estatòric i, en menor mesura, les …