Remaining Useful Life Estimation Based on Asynchronous Multisource Monitoring Information Fusion
Joint Authors
Peng, Kai-xiang
Hu, Yanyan
Qi, Shuai
Xue, Xiaoling
Source
Journal of Control Science and Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-13
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
An asynchronous RUL fusion estimation algorithm is presented for the hidden degradation process with multiple asynchronous monitoring sensors based on multisource information fusion.
Firstly, a state-space type model is established by modeling the stochastic degradation as a Wiener process and transforming asynchronous indirectly observations in the fusion period to the fusion time.
The statistical characteristics of involved noises and their correlations are analyzed.
Secondly, the estimate of the hidden degradation state is obtained by applying Kalman filtering with correlated noises to the established state-space model, where the synchronized observations are fused.
Also, the unknown model parameters are recursively identified based on the Expectation-Maximization (EM) algorithm with the Generic Algorithm (GA) adopted to solve the maximization problem.
Finally, the probability distribution of RUL is obtained using the fused degradation state estimation and the updated identification result of the model parameters.
Simulation results show that the proposed fusion method has better performance than the RUL estimation with single sensor.
American Psychological Association (APA)
Hu, Yanyan& Qi, Shuai& Xue, Xiaoling& Peng, Kai-xiang. 2017. Remaining Useful Life Estimation Based on Asynchronous Multisource Monitoring Information Fusion. Journal of Control Science and Engineering،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1173456
Modern Language Association (MLA)
Hu, Yanyan…[et al.]. Remaining Useful Life Estimation Based on Asynchronous Multisource Monitoring Information Fusion. Journal of Control Science and Engineering No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1173456
American Medical Association (AMA)
Hu, Yanyan& Qi, Shuai& Xue, Xiaoling& Peng, Kai-xiang. Remaining Useful Life Estimation Based on Asynchronous Multisource Monitoring Information Fusion. Journal of Control Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1173456
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173456