A learning-based method for speed sensor fault diagnosis of induction motor drive systems
This article proposes a speed sensor fault diagnosis methodology based on a learning-based data-driven principle in induction motor drive systems. The proposed method is derived from signal estimation and residual evaluation. First, a speed estimator is designed with a nonlinear autoregressive exoge...
Main Authors: | Xia, Yang, Xu, Yan, Gou, Bin, Deng, Qingli |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/163775 |
Similar Items
-
DIAGNOSIS OF INDUCTION MOTOR BEARING DEFECT USING DISCRETE WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORK
by: Gigih Priyandoko, et al.
Published: (2020-11-01) -
FPGA Implementation of AI-Based Inverter IGBT Open Circuit Fault Diagnosis of Induction Motor Drives
by: Nagalingam Rajeswaran, et al.
Published: (2022-04-01) -
Improved Classification by Non Iterative and Ensemble Classifiers in Motor Fault Diagnosis
by: PANIGRAHY, P. S., et al.
Published: (2018-02-01) -
DWT-LSTM-Based Fault Diagnosis of Rolling Bearings with Multi-Sensors
by: Kai Gu, et al.
Published: (2021-08-01) -
Comparative Analysis of High Impedance Fault Detection Techniques on Distribution Networks
by: Ester Hamatwi, et al.
Published: (2023-01-01)