Variable speed induction motors' fault detection based on transient motor current signatures analysis: A review

MF Yakhni, S Cauet, A Sakout, H Assoum… - … Systems and Signal …, 2023 - Elsevier
Induction motor is a major component in the industrial sector. It is experiencing great
development concerning size, market share, and technological design. Any sudden failure …

A hybrid framework combining data-driven and model-based methods for system remaining useful life prediction

L Liao, F Köttig - Applied Soft Computing, 2016 - Elsevier
Remaining useful life prediction is one of the key requirements in prognostics and health
management. While a system or component exhibits degradation during its life cycle, there …

Fuzzy min–max neural networks: a bibliometric and social network analysis

ÖN Kenger, E Özceylan - Neural Computing and Applications, 2023 - Springer
The amount of digital data in the universe is growing at an exponential rate with the rapid
development of digital information, and this reveals new machine learning methods …

Stator fault analysis of three-phase induction motors using information measures and artificial neural networks

GH Bazan, PR Scalassara, W Endo, A Goedtel… - Electric Power Systems …, 2017 - Elsevier
The three-phase induction motors are considered one of the most important elements of the
industrial process. However, in this environment, these machines are subject to electrical …

A comprehensive evaluation of intelligent classifiers for fault identification in three-phase induction motors

RHC Palácios, IN Da Silva, A Goedtel… - Electric Power Systems …, 2015 - Elsevier
Three-phase induction motors are the key elements of electromechanical energy conversion
for a variety of industrial sectors. The ability to identify motor faults before they occur can …

Fault diagnosis of asynchronous motors based on LSTM neural network

D Xiao, Y Huang, X Zhang, H Shi… - 2018 prognostics and …, 2018 - ieeexplore.ieee.org
Motors are one of the most critical components in industrial processes due to their reliability,
low cost and robust performance. Motor failure will lead to the shutdown of a whole …

[HTML][HTML] Classification of ball bearing faults using a hybrid intelligent model

M Seera, MLD Wong, AK Nandi - Applied Soft Computing, 2017 - Elsevier
In this paper, classification of ball bearing faults using vibration signals is presented. A
review of condition monitoring using vibration signals with various intelligent systems is first …

Diagnosis of stator faults severity in induction motors using two intelligent approaches

RHC Palácios, IN da Silva, A Goedtel… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Three-phase induction motors are the primary means of transformation of electrical energy
into mechanical energy in industry, since they are robust and present low cost. However …

Nested SVDD in DAG SVM for induction motor condition monitoring

S Zgarni, H Keskes, A Braham - Engineering Applications of Artificial …, 2018 - Elsevier
Nowadays, multiclass classification is considered as the leading technique on the issue of
condition monitoring in induction motor which can be performed accurately and efficiently by …

FPGA-Flux Proprietary System for Online Detection of Outer Race Faults in Bearings

J Cureño-Osornio, I Zamudio-Ramirez… - Electronics, 2023 - mdpi.com
Online fault detection in industrial machinery, such as induction motors or their components
(eg, bearings), continues to be a priority. Most commercial equipment provides general …