Detection and Characterization of Bearing Faults from the Frequency Domain Features of Vibration-Reference-Cited by-同舟云学术

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Detection and Characterization of Bearing Faults from the Frequency Domain Features of Vibration

Published:2017-09-21 Issue:5 Volume:64 Page:634-647
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Arun P.¹,Lincon S. Abraham²,Prabhakaran N.³

Affiliation:

1. Department of Electronics and Communication Engineering, St. Joseph's College of Engineering and Technology , Palai, India

2. Department of Electronics & Instrumentation Engineering, Annamalai University , Chennai, India

3. Department of Electrical and Electronics Engineering, St. Joseph's College of Engineering and Technology , Palai, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2017.1369369

Reference34 articles.

1. Different indexes for eccentricity faults diagnosis in three-phase squirrel-cage induction motors: A review

2. An enhanced Kurtogram method for fault diagnosis of rolling element bearings

3. Vibration analysis for bearing fault detection and classification using an intelligent filter

4. Vibration Analysis of Rolling Element Bearings Defects

5. Machine Fault Signature Analysis

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