Greedy-Gradient Max Cut-Based Fault Diagnosis for Direct Online Induction Motors

Greedy-Gradient Max Cut-Based Fault Diagnosis for Direct Online Induction Motors

In this paper, a graph-based semi-supervised learning (GSSL) algorithm, greedy-gradient max cut (GGMC), based fault diagnosis method for direct online induction motors is proposed. Two identical 0.25 HP three-phase squirrel-cage induction motors under healthy, single- and multi-fault conditions were...

Full description

Bibliographic Details
Main Authors: Shafi Md Kawsar Zaman, Xiaodong Liang, Lihong Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Fault diagnosis
discrete wavelet transform
induction motors
graph-based semi-supervised learning
greedy-gradient max cut
stator current
Online Access:https://ieeexplore.ieee.org/document/9207884/

Internet

https://ieeexplore.ieee.org/document/9207884/

Similar Items