Variable speed induction motors' fault detection based on transient motor current signatures analysis: A review
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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 …
(eg, bearings), continues to be a priority. Most commercial equipment provides general …