Condition monitoring and intelligent diagnosis of rolling element bearings under constant/variable load and speed conditions-Reference-Cited by-同舟云学术

Condition monitoring and intelligent diagnosis of rolling element bearings under constant/variable load and speed conditions

Published:2021-02 Issue: Volume:149 Page:107153
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Moshrefzadeh Ali^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference56 articles.

1. Detection of rolling element bearing damage by statistical vibration analysis;Dyer;J. Mech. Des.,1978

2. Crest factor and kurtosis contributions to identify defects inducing periodical impulsive forces;Pachaud;Mech. Syst. Signal Process.,1997

3. Statistical analysis of sound and vibration signals for monitoring rolling element bearing condition;Heng;Appl. Acoust.,1998

4. Rolling element bearing diagnostics in run-to-failure lifetime testing;Williams;Mech. Syst. Signal Process.,2001

5. Vibration monitoring of rolling element bearings by the high-frequency resonance technique-a review;McFadden;Tribol. Int.,1984

Cited by 60 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. Stockwell transform spectral amplitude modulation method for rotating machinery fault diagnosis;Mechanical Systems and Signal Processing;2025-01

2. Adaptive residual spectral amplitude modulation: A new approach for bearing diagnosis under complex interference environments;Mechanical Systems and Signal Processing;2024-11

3. Rolling Bearing Fault Diagnosis in Agricultural Machinery Based on Multi-Source Locally Adaptive Graph Convolution;Agriculture;2024-08-09

4. Remaining useful life prediction of machinery based on performance evaluation and online cross-domain health indicator under unknown working conditions;Journal of Manufacturing Systems;2024-08

5. A Review of the Intelligent Condition Monitoring of Rolling Element Bearings;Machines;2024-07-18