Modeling the Relationship between Vibration Features and Condition Parameters Using Relevance Vector Machines for Health Monitoring of Rolling Element Bearings under Varying Operation Conditions
Joint Authors
Hu, Lei
Hu, Niao-qing
Fan, Bin
Zhang, Xiang-yi
Gu, Fengshou
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Rotational speed and load usually change when rotating machinery works.
Both this kind of changing operational conditions and machine fault could make the mechanical vibration characteristics change.
Therefore, effective health monitoring method for rotating machinery must be able to adjust during the change of operational conditions.
This paper presents an adaptive threshold model for the health monitoring of bearings under changing operational conditions.
Relevance vector machines (RVMs) are used for regression of the relationships between the adaptive parameters of the threshold model and the statistical characteristics of vibration features.
The adaptive threshold model is constructed based on these relationships.
The health status of bearings can be indicated via detecting whether vibration features exceed the adaptive threshold.
This method is validated on bearings running at changing speeds.
The monitoring results show that this method is effective as long as the rotational speed is higher than a relative small value.
American Psychological Association (APA)
Hu, Lei& Hu, Niao-qing& Fan, Bin& Gu, Fengshou& Zhang, Xiang-yi. 2015. Modeling the Relationship between Vibration Features and Condition Parameters Using Relevance Vector Machines for Health Monitoring of Rolling Element Bearings under Varying Operation Conditions. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1072935
Modern Language Association (MLA)
Hu, Lei…[et al.]. Modeling the Relationship between Vibration Features and Condition Parameters Using Relevance Vector Machines for Health Monitoring of Rolling Element Bearings under Varying Operation Conditions. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1072935
American Medical Association (AMA)
Hu, Lei& Hu, Niao-qing& Fan, Bin& Gu, Fengshou& Zhang, Xiang-yi. Modeling the Relationship between Vibration Features and Condition Parameters Using Relevance Vector Machines for Health Monitoring of Rolling Element Bearings under Varying Operation Conditions. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1072935
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072935