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A SVDD and K-Means Based Early Warning Method for Dual-Rotor Equipment under Time-Varying Operating Conditions
Joint Authors
Jiang, Zhinong
Feng, Kun
Hu, Minghui
Wang, Hao
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-04
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Under frequently time-varying operating conditions, equipment with dual rotors like gas turbines is influenced by two rotors with different rotating speeds.
Alarm methods of fixed threshold are unable to consider the influences of time-varying operating conditions.
Hence, those methods are not suitable for monitoring dual-rotor equipment.
An early warning method for dual-rotor equipment under time-varying operating conditions is proposed in this paper.
The influences of time-varying rotating speeds of dual rotors on alarm thresholds have been considered.
Firstly, the operating conditions are divided into several limited intervals according to rotating speeds of dual rotors.
Secondly, the train data within each interval is processed by SVDD and the allowable ranges (i.e., the alarm threshold) of the vibration are determined.
The alarm threshold of each interval of operating conditions is obtained.
The alarm threshold can be expressed as a sphere, whose controlling parameters are the coordinate of the center and the radius.
Then, the cluster center of the test data, whose alarm state is to be judged, can be extracted through K-means.
Finally, the alarm state can be obtained by comparing the cluster center with the corresponding sphere.
Experiments are conducted to validate the proposed method.
American Psychological Association (APA)
Jiang, Zhinong& Hu, Minghui& Feng, Kun& Wang, Hao. 2018. A SVDD and K-Means Based Early Warning Method for Dual-Rotor Equipment under Time-Varying Operating Conditions. Shock and Vibration،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1215315
Modern Language Association (MLA)
Jiang, Zhinong…[et al.]. A SVDD and K-Means Based Early Warning Method for Dual-Rotor Equipment under Time-Varying Operating Conditions. Shock and Vibration No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1215315
American Medical Association (AMA)
Jiang, Zhinong& Hu, Minghui& Feng, Kun& Wang, Hao. A SVDD and K-Means Based Early Warning Method for Dual-Rotor Equipment under Time-Varying Operating Conditions. Shock and Vibration. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1215315
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1215315