A Review of Fault Detection, Diagnosis, and Prognosis of Rolling Element Bearing Using Advanced Approaches and Vibration Signature Analysis-Reference-Cited by-同舟云学术

A Review of Fault Detection, Diagnosis, and Prognosis of Rolling Element Bearing Using Advanced Approaches and Vibration Signature Analysis

Published:2020 Issue: Volume: Page:207-219
ISSN:2195-4356
Container-title:Lecture Notes in Mechanical Engineering
language:
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Author:

Agrawal Pavan,Jayaswal Pratesh

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-3746-2_19

Reference43 articles.

1. Tandon N, Choudhury A (1999) A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearing. Tribol Int 32:469–480

2. Azeez NI (2014) Detection of rolling element bearing defects by vibration signature analysis: a review. In: ICMMD

3. Marichal GN, Artes M, Garcia-Prada JC (2010) An intelligent system for faulty-bearing detection based on vibration spectra. J Vib Control 17(6):931–942

4. McFadden PD, Smith JD (1985) The vibration produced by multiple point defects in a rolling element bearing. J Sound Vib 98(2):263–273

5. Pandya DH, Upadhyay SH, Harsha SP (2012) ANN based fault diagnosis of rolling element bearing using time-frequency domain feature. Int J Eng Sci Technol 4(6):2878–2886

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