Rotating Machinery Fault Diagnosis Based on Typical Resonance Demodulation Methods: A Review-Reference-Cited by-同舟云学术

Rotating Machinery Fault Diagnosis Based on Typical Resonance Demodulation Methods: A Review

Published:2023-04-01 Issue:7 Volume:23 Page:6439-6459
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Li Hua¹^ORCID,Wu Xing²,Liu Tao³^ORCID,Li Shaobo¹^ORCID

Affiliation:

1. State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China

2. Yunnan Vocational College of Mechanical and Electrical Technology, Kunming, China

3. Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China

Funder

National Key Research and Development Plan of China

National Natural Science Foundation of China

Natural Science Research Foundation (Special Position) of Guizhou University

Cultivation Project of Guizhou University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10089784/10047923.pdf?arnumber=10047923

Reference184 articles.

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3. Identification of multi-fault in rotor-bearing system using spectral kurtosis and EEMD

4. A Feature Extraction Method for Vibration Signal of Bearing Incipient Degradation

5. Optimised Spectral Kurtosis for bearing diagnostics under electromagnetic interference

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