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A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography
Joint Authors
Si, Shubin
Li, Yongbo
Wang, Xianzhi
Du, Xiaoqiang
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-19
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A novel systematic framework, infrared thermography- (IRT-) based method, for rotating machinery fault diagnosis under nonstationary running conditions is presented in this paper.
In this framework, IRT technique is first applied to obtain the thermograph.
Then, the fault features are extracted using bag-of-visual-word (BoVW) from the IRT images.
In the end, support vector machine (SVM) is utilized to automatically identify the fault patterns of rotating machinery.
The effectiveness of proposed method is evaluated using lab experimental signal of rotating machinery.
The diagnosis results show that the IRT-based method has certain advantages in classification rotating machinery faults under nonstationary running conditions compared with the traditional vibration-based method.
American Psychological Association (APA)
Li, Yongbo& Wang, Xianzhi& Si, Shubin& Du, Xiaoqiang. 2019. A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography. Complexity،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1131259
Modern Language Association (MLA)
Li, Yongbo…[et al.]. A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography. Complexity No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1131259
American Medical Association (AMA)
Li, Yongbo& Wang, Xianzhi& Si, Shubin& Du, Xiaoqiang. A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography. Complexity. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1131259
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131259