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Bearing Health Monitoring Based on the Orthogonal Empirical Mode Decomposition
Joint Authors
Delprete, C.
Brusa, E.
Rosso, C.
Bruzzone, F.
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Bearing is a crucial component of industrial equipment, since any fault occurring in this system usually affects the functionality of the whole machine.
To manage this problem, some currently available technologies enable the remote prognosis and diagnosis of bearings, before that faults compromise the system function and safety, respectively.
A system for the in-service monitoring of bearing, to detect any inner fault or damage of components and material, allows preventing undesired machine stops.
Moreover, it even helps in performing an out-monitoring action, aimed at revealing any anomalous behaviour of the system hosting bearings, through their dynamic response.
The in-monitoring can be based on the vibration signal measurement and exploited to detect the presence of defects in material.
In this paper, the orthogonal empirical mode decomposition is analysed and tested to investigate how it could be effectively exploited in a lean in-service monitoring operation and remote diagnosis.
The proposed approach is validated on a test rig, where an elementary power transmission line was set up.
The activity highlights some main properties and practical issues of the technological implementation, as well as the precision of the Orthogonal Empirical Mode Decomposition, as a compact approach for an effective detection of bearing faults in operation.
American Psychological Association (APA)
Delprete, C.& Brusa, E.& Rosso, C.& Bruzzone, F.. 2020. Bearing Health Monitoring Based on the Orthogonal Empirical Mode Decomposition. Shock and Vibration،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1210479
Modern Language Association (MLA)
Delprete, C.…[et al.]. Bearing Health Monitoring Based on the Orthogonal Empirical Mode Decomposition. Shock and Vibration No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1210479
American Medical Association (AMA)
Delprete, C.& Brusa, E.& Rosso, C.& Bruzzone, F.. Bearing Health Monitoring Based on the Orthogonal Empirical Mode Decomposition. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1210479
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210479