Fault Diagnosis Method Based on Improved Evidence Reasoning
Joint Authors
Xiong, Jianbin
Li, Chunlin
Cen, Jian
Liang, Qiong
Cai, Yongda
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-04
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Evidence reasoning (ER) combined with dimensionless index method can be used in rotating machinery fault diagnosis.
In ER algorithm, reliability is mainly obtained in two ways: distance-based method and correlation measure by set theory.
In practice, the distance-based method cannot generate high-discrimination reliability in high-coincidence data like dimensionless index data.
Therefore, correlation measure by set theory method is used in fault diagnosis more frequently.
Because correlation measure by set theory only considers upper bound and lower bound of fault data, we add a regularization term to calculate the relationship between the inner data.
Experience result shows that fault diagnosis accuracy had improved, which illustrates that the new reliability can describe data relationship better.
American Psychological Association (APA)
Xiong, Jianbin& Li, Chunlin& Cen, Jian& Liang, Qiong& Cai, Yongda. 2019. Fault Diagnosis Method Based on Improved Evidence Reasoning. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1197028
Modern Language Association (MLA)
Xiong, Jianbin…[et al.]. Fault Diagnosis Method Based on Improved Evidence Reasoning. Mathematical Problems in Engineering No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1197028
American Medical Association (AMA)
Xiong, Jianbin& Li, Chunlin& Cen, Jian& Liang, Qiong& Cai, Yongda. Fault Diagnosis Method Based on Improved Evidence Reasoning. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1197028
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197028