Intelligent Diagnosis Method for Rotating Machinery Using Wavelet Transform and Ant Colony Optimization
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx5/7361/6205399/06175920.pdf?arnumber=6175920
Cited by 38 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Frequency bearing fault detection in non-stationary state operation of induction motors using hybrid approach based on wavelet transforms and pencil matrix;Electrical Engineering;2024-01-29
2. A feature extraction method for rotating machinery fault diagnosis based on a target detection index and successive variational mode decomposition;Measurement Science and Technology;2023-12-20
3. Rolling Bearing Fault Diagnosis Under Different Severity Based on Statistics Detection Index and Canonical Discriminant Analysis;IEEE Access;2023
4. Application of a whale optimized variational mode decomposition method based on envelope sample entropy in the fault diagnosis of rotating machinery;Measurement Science and Technology;2021-11-19
5. Multi-Level Stator Winding Failure Analysis on the Insulation Material for Industrial Induction Motor;Experimental Techniques;2021-07-06
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