Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects
Joint Authors
Jeong, In-Kyu
Kim, Jaeyoung
Ha, Jeong-Min
Kang, Myeongsu
Choi, Byeong-Keun
Kim, Jong-Myon
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
To early identify cylindrical roller bearing failures, this paper proposes a comprehensive bearing fault diagnosis method, which consists of spectral kurtosis analysis for finding the most informative subband signal well representing abnormal symptoms about the bearing failures, fault signature calculation using this subband signal, enhanced distance evaluation technique- (EDET-) based fault signature analysis that outputs the most discriminative fault features for accurate diagnosis, and identification of various single and multiple-combined cylindrical roller bearing defects using the simplified fuzzy adaptive resonance map (SFAM).
The proposed comprehensive bearing fault diagnosis methodology is effective for accurate bearing fault diagnosis, yielding an average classification accuracy of 90.35%.
In this paper, the proposed EDET specifically addresses shortcomings in the conventional distance evaluation technique (DET) by accurately estimating the sensitivity of each fault signature for each class.
To verify the efficacy of the EDET-based fault signature analysis for accurate diagnosis, a diagnostic performance comparison is carried between the proposed EDET and the conventional DET in terms of average classification accuracy.
In fact, the proposed EDET achieves up to 106.85% performance improvement over the conventional DET in average classification accuracy.
American Psychological Association (APA)
Jeong, In-Kyu& Kang, Myeongsu& Kim, Jaeyoung& Kim, Jong-Myon& Ha, Jeong-Min& Choi, Byeong-Keun. 2015. Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects. Shock and Vibration،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1078348
Modern Language Association (MLA)
Jeong, In-Kyu…[et al.]. Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects. Shock and Vibration No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1078348
American Medical Association (AMA)
Jeong, In-Kyu& Kang, Myeongsu& Kim, Jaeyoung& Kim, Jong-Myon& Ha, Jeong-Min& Choi, Byeong-Keun. Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects. Shock and Vibration. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1078348
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078348