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Failure Detection and Validation of Multifunctional Self-validating Sensor Using WRVM Predictor
SHEN Zhengguang,SONG Kai #,WANG Qi *
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, 150001
*Correspondence author
#Submitted by
Subject:
Funding: Specialized Research Fund for the Doctoral Program of Higher Education (No.No.200802130020 )
Opened online:13 February 2012
Accepted by: none
Citation: SHEN Zhengguang,SONG Kai,WANG Qi.Failure Detection and Validation of Multifunctional Self-validating Sensor Using WRVM Predictor[OL]. [13 February 2012] http://en.paper.edu.cn/en_releasepaper/content/4463224
 
 
A novel multifunctional self-validating sensor functional model is proposed for evaluation, improvement, and forecast of measurement value reliability. This paper presents a detailed introduction of main content--self-validating function, especially the quantitative health evaluation and remaining using life forecasting. As a fundamental self-validating function, a novel strategy based on relevance vector machine (RVM) coupled with wavelet analysis is proposed for failure detection, isolation, and recovery (FDIR) of multifunctional self-validating sensor. It centers on the working principle and on-line updating algorithm of WRVM predictor. The proposed WRVM predictor can also distinguish the fault free signal with sudden change from the failure signal and it is updated online for pursuit of signal change. A multifunctional self-validating sensor experimental system is designed to evaluate the performance of novel strategy. Results demonstrate that the proposed methodology provides a good solution to the FDIR of multifunctional self-validating sensor.
Keywords:multifunctional self-validating sensor; WRVM; failure detection
 
 
 

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