Fault Detection for Turbine Engine Disk Based on One-Class Large Vector-Angular Region and Margin
Joint Authors
Chen, Jiusheng
Zhang, Xiaoyu
Wei, Ye
Wang, Haibing
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-01
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Fault detection is an important technique to detect divergence based on unknown abnormalities, which involves establishing a computational model exclusively originated from the key features of the normal samples.
The multimodality of process data distribution of engine turbine disk is inevitably affected by incorporation of ambient disturbance; the mean and covariance would vary significantly, resulting in decayed detecting accuracy.
By adopting a strategy to maximize vector-angular mean and minimize vector-angular variance simultaneously in the feature space, a one-class large vector-angular region and margin (one-class LARM) framework is systematically conducted for fault detection of turbine engine disk which will enhance the robustness of the dynamic multimode process monitoring.
Simulation based on the single mode and multimode of turbine engine disk is thoroughly performed and compared that the results of which solidly validated the favorable efficiency of the proposed method.
American Psychological Association (APA)
Chen, Jiusheng& Wei, Ye& Wang, Haibing& Zhang, Xiaoyu. 2020. Fault Detection for Turbine Engine Disk Based on One-Class Large Vector-Angular Region and Margin. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1196188
Modern Language Association (MLA)
Chen, Jiusheng…[et al.]. Fault Detection for Turbine Engine Disk Based on One-Class Large Vector-Angular Region and Margin. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1196188
American Medical Association (AMA)
Chen, Jiusheng& Wei, Ye& Wang, Haibing& Zhang, Xiaoyu. Fault Detection for Turbine Engine Disk Based on One-Class Large Vector-Angular Region and Margin. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1196188
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196188