Fault diagnosis and fault-tolerant control of PMSM drives–state of the art and future challenges
The issues of monitoring and fault diagnosis of drives with permanent magnet synchronous
motors (PMSMs) are currently very relevant because of the increasing use of these drives in …
motors (PMSMs) are currently very relevant because of the increasing use of these drives in …
Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review
Uninterrupted and trouble-free operation of induction motors (IMs) is the compulsion of the
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …
Real-time motor fault detection by 1-D convolutional neural networks
Early detection of the motor faults is essential and artificial neural networks are widely used
for this purpose. The typical systems usually encapsulate two distinct blocks: feature …
for this purpose. The typical systems usually encapsulate two distinct blocks: feature …
A review of fault detection and diagnosis for the traction system in high-speed trains
H Chen, B Jiang - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
High-speed trains have become one of the most important and advanced branches of
intelligent transportation, of which the reliability and safety are still not mature enough for …
intelligent transportation, of which the reliability and safety are still not mature enough for …
Application of recurrent neural network to mechanical fault diagnosis: A review
J Zhu, Q Jiang, Y Shen, C Qian, F Xu, Q Zhu - Journal of Mechanical …, 2022 - Springer
With the development of intelligent manufacturing and automation, the precision and
complexity of mechanical equipment are increasing, which leads to a higher requirement for …
complexity of mechanical equipment are increasing, which leads to a higher requirement for …
Condition monitoring of bearing damage in electromechanical drive systems by using motor current signals of electric motors: A benchmark data set for data-driven …
C Lessmeier, JK Kimotho, D Zimmer… - PHM Society …, 2016 - papers.phmsociety.org
This paper presents a benchmark data set for condition monitoring of rolling bearings in
combination with an extensive description of the corresponding bearing damage, the data …
combination with an extensive description of the corresponding bearing damage, the data …
A review of machine learning for the optimization of production processes
Due to the advances in the digitalization process of the manufacturing industry and the
resulting available data, there is tremendous progress and large interest in integrating …
resulting available data, there is tremendous progress and large interest in integrating …
Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis
Bearing faults are the main contributors to the failure of electric motors. Although a number
of vibration analysis methods have been developed for the detection of bearing faults, false …
of vibration analysis methods have been developed for the detection of bearing faults, false …
Advances in electrical machine, power electronic, and drive condition monitoring and fault detection: State of the art
M Riera-Guasp, JA Antonino-Daviu… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Recently, research concerning electrical machines and drives condition monitoring and fault
diagnosis has experienced extraordinarily dynamic activity. The increasing importance of …
diagnosis has experienced extraordinarily dynamic activity. The increasing importance of …
Trends in fault diagnosis for electrical machines: A review of diagnostic techniques
H Henao, GA Capolino… - IEEE industrial …, 2014 - ieeexplore.ieee.org
The fault diagnosis of rotating electrical machines has received an intense amount of
research interest during the last 30 years. Reducing maintenance costs and preventing …
research interest during the last 30 years. Reducing maintenance costs and preventing …