Artificial intelligence application in fault diagnostics of rotating industrial machines: A state-of-the-art review

V Singh, P Gangsar, R Porwal, A Atulkar - Journal of Intelligent …, 2023 - Springer
The fault monitoring and diagnosis of industrial machineries are very significant in Industry
4.0 revolution but are often complicated and labour intensive. The application of artificial …

Sobre a aplicação de sistemas inteligentes para diagnóstico de falhas em máquinas de indução-uma visão geral

FMC Santos, IN Silva, M Suetake - Sba: Controle & Automação …, 2012 - SciELO Brasil
Muitas pesquisas estão sendo desenvolvidas buscando nos sistemas inteligentes soluções
para diagnosticar falhas em máquinas elétricas. Estas falhas envolvem desde problemas …

Real‐Time Monitoring and Fault Diagnosis of a Low Power Hub Motor Using Feedforward Neural Network

M Şimşir, R Bayır, Y Uyaroğlu - Computational intelligence and …, 2016 - Wiley Online Library
Low power hub motors are widely used in electromechanical systems such as electrical
bicycles and solar vehicles due to their robustness and compact structure. Such systems …

Early broken rotor bar detection techniques in VSD-fed induction motors at steady-state

RJ Romero-Troncoso… - 2013 9th IEEE …, 2013 - ieeexplore.ieee.org
Condition monitoring has become necessary to detect failures in induction motors (IM)
where the detection of incipient faults is of great concern. However, the detection of partially …

[PDF][PDF] An integrated fault detection and identification system for permanent magnet synchronous motor in electric vehicles

A Rohan, M Rabah, SH Kim - International Journal of Fuzzy …, 2018 - e-sciencecentral.org
This paper proposes an efficient and integrated fault detection and identification system for
power converters and permanent magnet synchronous motor in electric vehicles. Switching …

Analyse et détection des défauts dans la machine asynchrone à base des techniques intelligentes

B Bessam - 2016 - thesis.univ-biskra.dz
Le travail réalisé dans ce thèse s' inscrit dans la thématique de la surveillance et le
diagnostic des défauts des entraînements électriques à base de la machine asynchrone à …

[PDF][PDF] Broken bar fault detection based on the discrete wavelet transform and artificial neural network

MM Ibrahim, HJ Nekad - Asian Transactions On Engineering (ATE ISSN …, 2013 - Citeseer
In this paper, we present an effective method to detect broken rotor bars fault in the induction
motors. This method is based on the analysis of the q-component of the stator current and …

[PDF][PDF] RLC fault detection based on image processing and artificial neural network

A Rohan, SH Kim - International Journal of Fuzzy Logic and …, 2019 - academia.edu
The RLC circuit is a basic building block of the more complicated electrical circuits and
networks. RLC circuit mainly comprises of passive electronic components such as …

Identificação de falhas em motores de indução trifásicos usando sistemas inteligentes

FMC Santos - 2013 - teses.usp.br
Esta tese consiste em desenvolver um sistema de identificação e classificação de falhas em
motores de indução trifásico. As falhas analisadas foram simuladas em laboratório e …

An investigation into current and vibration signatures of three phase induction motors

RA Ashnibha - 2012 - e-space.mmu.ac.uk
This research aimed at investigating the relationship between three phase induction motors
vibration (MVS) and current signatures (MCS). This is essential due to the cost of vibration …