Artificial intelligence-based technique for fault detection and diagnosis of EV motors: A review
W Lang, Y Hu, C Gong, X Zhang, H Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The motor drive system plays a significant role in the safety of electric vehicles as a bridge
for power transmission. Meanwhile, to enhance the efficiency and stability of the drive …
for power transmission. Meanwhile, to enhance the efficiency and stability of the drive …
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 …
Motor bearing fault diagnosis using trace ratio linear discriminant analysis
Bearings are critical components in induction motors and brushless direct current motors.
Bearing failure is the most common failure mode in these motors. By implementing health …
Bearing failure is the most common failure mode in these motors. By implementing health …
Scalable and unsupervised feature engineering using vibration-imaging and deep learning for rotor system diagnosis
This paper proposes a scalable and unsupervised feature engineering method that uses
vibration imaging and deep learning. For scalability, a vibration imaging approach is …
vibration imaging and deep learning. For scalability, a vibration imaging approach is …
Transient feature extraction by the improved orthogonal matching pursuit and K-SVD algorithm with adaptive transient dictionary
To detect the incipient faults of rotating parts used in electromechanical systems widely, a
novel transient feature extraction method based on the improved orthogonal matching …
novel transient feature extraction method based on the improved orthogonal matching …
Fault-tolerant control in variable speed drives: a survey
DU Campos-Delgado, DR Espinoza-Trejo… - IET Electric Power …, 2008 - IET
A survey on fault-tolerant control is presented for variable speed drives (VSD), mainly
addressing DC and induction motors. Thus, fault diagnosis, accommodation and hardware …
addressing DC and induction motors. Thus, fault diagnosis, accommodation and hardware …
An amplitude modulation detector for fault diagnosis in rolling element bearings
JR Stack, RG Harley… - IEEE Transactions on …, 2004 - ieeexplore.ieee.org
The purpose of this research is to identify single-point defects in rolling element bearings.
These defects produce characteristic fault frequencies that appear in the machine vibration …
These defects produce characteristic fault frequencies that appear in the machine vibration …
Induction machine fault detection using SOM-based RBF neural networks
A radial-basis-function (RBF) neural-network-based fault detection system is developed for
performing induction machine fault detection and analysis. Four feature vectors are …
performing induction machine fault detection and analysis. Four feature vectors are …
Distinct fault analysis of induction motor bearing using frequency spectrum determination and support vector machine
SE Pandarakone, Y Mizuno… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In modern industrial environment, the demand for condition monitoring and maintenance
management for the induction motor has increased. Among all the components of the …
management for the induction motor has increased. Among all the components of the …
Induction machine fault diagnostic analysis with wavelet technique
TWS Chow, S Hai - IEEE Transactions on Industrial Electronics, 2004 - ieeexplore.ieee.org
A wavelet transform based method was developed for diagnosing machine faults operating
at different rotating speeds. This paper shows that machine fault diagnosis can be effectively …
at different rotating speeds. This paper shows that machine fault diagnosis can be effectively …