System Development & Application
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 1
136-139

Application of PCA+CHMM in equipment performance degradation state recognition

Zhong Fei1
Ning Qian1,2
Zhou Xinzhi1,2
Zhao Chengping1
1. College of Electronics & Information Engineering, Sichuan University, Chengdu 610065, China
2. Science & Technology on Electronic Information Control Laboratory, Chengdu 610036, China
DOI: 10.19734/j.issn.1001-3695.2017.07.0679

Abstract

In order to accurately identify the degradation state of mechanical equipment, this paper researched a recognition method of performance degradation state based on PCA(principal component analysis) and CHMM(continuous hidden Mar-kov model). Firstly, it extracted the vibration signal's time domain, frequency domain and time-frequency domain features in full life cycle, then constructed a new feature set by screening the features, then performed PCA dimensionality reduction for this set. Secondly, it trained a full life cycle CHMM to determine the number of degraded states by using of reduced dimension feature data, and then trained a CHMM for each degraded state, judged the degradation state of the device by comparing the likelihood probability of the observation sequence under each model. Finally, it compared the accuracy of PCA+CHMM and PCA+CHM, PCA+KNN and PCA+CART methods that to identify each degraded state. The results show that the average recognition accuracy of PCA+CHMM is the highest, the recognition effect is good, and it is suitable for the identification of device degraded state.

Foundation Support

国家“973”计划资助项目(2013CB328903)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.07.0679
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: System Development & Application
Pages: 136-139
Serial Number: 1001-3695(2019)01-031-0136-04

Publish History

[2019-01-05] Printed Article

Cite This Article

钟飞, 宁芊, 周新志, 等. PCA+CHMM在设备性能退化状态识别中的应用研究 [J]. 计算机应用研究, 2019, 36 (1): 136-139. (Zhong Fei, Ning Qian, Zhou Xinzhi, et al. Application of PCA+CHMM in equipment performance degradation state recognition [J]. Application Research of Computers, 2019, 36 (1): 136-139. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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