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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 …
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 …
Fuzzy min–max neural networks: a bibliometric and social network analysis
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 …
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 **ao, 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 …
The role of fault detection and diagnosis in induction motors
Induction Motors (IM) aim to enhance interface technologies for more safety, reliability,
productivity, and greener operations. In addition, malfunction monitoring functionalities are …
productivity, and greener operations. In addition, malfunction monitoring functionalities are …
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 …