Statistical analysis of sound and vibration signals for monitoring rolling element bearing condition-Reference-Cited by-同舟云学术

Statistical analysis of sound and vibration signals for monitoring rolling element bearing condition

Published:1998-01 Issue:1-3 Volume:53 Page:211-226
ISSN:0003-682X
Container-title:Applied Acoustics
language:en
Short-container-title:Applied Acoustics

Author:

Heng R.B.W.,Nor M.J.M.

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference12 articles.

1. A study of tool wear using statistical analysis of metalcutting acoustic emission;Kannatay-Asibu;Wear,1982

2. Correlating tool life, tool wear and surface roughness by monitoring acoustic emission in finish turning;Diniz;Wear,1992

3. Inspection of micro-tools at high rotational speeds;Trujillo;International Journal of Machine Tools Manufacture,1994

4. Different vibration monitoring techniques and their application to rolling element bearings;Daadbin;International Journal of Mechanical Engineering Education,1991

5. Detection of gear damage by statistical vibration analysis;Martin,1992

Cited by 209 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. On the design of Optimal Health Indicators for early fault detection and their statistical thresholds;Mechanical Systems and Signal Processing;2024-09

2. A smart look at monitoring while drilling (MWD) and optimizing using acoustic emission technique (AET);Scientific Reports;2024-08-26

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

4. AI-Based Anomaly Detection Techniques for Structural Fault Diagnosis Using Low-Sampling-Rate Vibration Data;Aerospace;2024-06-24

5. Enhancing Interpretability in Drill Bit Wear Analysis through Explainable Artificial Intelligence: A Grad-CAM Approach;Applied Sciences;2024-04-25