Applications of machine learning to machine fault diagnosis: A review and roadmap
Intelligent fault diagnosis (IFD) refers to applications of machine learning theories to
machine fault diagnosis. This is a promising way to release the contribution from human …
machine fault diagnosis. This is a promising way to release the contribution from human …
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 …
Data-driven early fault diagnostic methodology of permanent magnet synchronous motor
Permanent magnet synchronous motor (PMSM) is one of the common core power
components in modern industrial systems. Early fault diagnosis can avoid major accidents …
components in modern industrial systems. Early fault diagnosis can avoid major accidents …
Vibration-current data fusion and gradient boosting classifier for enhanced stator fault diagnosis in three-phase permanent magnet synchronous motors
Permanent magnet synchronous motors (PMSMs) are widely recognized for their precise
control capabilities, making them indispensable in numerous industrial applications. Yet …
control capabilities, making them indispensable in numerous industrial applications. Yet …
Interturn fault diagnosis for model-predictive-controlled-PMSM based on cost function and wavelet transform
J Hang, J Zhang, M Xia, S Ding… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Interturn fault (ITF) is a common fault for permanent magnet synchronous machine (PMSM).
If the ITF is not detected in time, its propagation may result in the secondary damage, even …
If the ITF is not detected in time, its propagation may result in the secondary damage, even …
Diagnosis of stator fault severity in induction motor based on discrete wavelet analysis
This research puts forward a novel approach by proposing mathematical equations to
estimate the fault intensity index in induction motor with stator inter-turn short circuit (ITSC) …
estimate the fault intensity index in induction motor with stator inter-turn short circuit (ITSC) …
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 …
Machine learning for power system protection and control
Since the power system is undergoing a transition into a more flexible and complex system,
it urges improvements in fault diagnosis techniques for the power system protection to avoid …
it urges improvements in fault diagnosis techniques for the power system protection to avoid …
Fault detection and diagnosis of the electric motor drive and battery system of electric vehicles
Fault detection and diagnosis (FDD) is of utmost importance in ensuring the safety and
reliability of electric vehicles (EVs). The EV's power train and energy storage, namely the …
reliability of electric vehicles (EVs). The EV's power train and energy storage, namely the …
[HTML][HTML] A public data-set for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers
In the last two decades, motor operation monitoring tools have become a necessity, and
many studies focus on the detection and diagnosis of motor electrical faults. However, at …
many studies focus on the detection and diagnosis of motor electrical faults. However, at …