Fault Detection and Recovery for Full Range of Hydrogen Sensor Based on Relevance Vector Machine
Kai Song1, Bing Wang2,3, Ming Diao2, Hongquan Zhang4,Zhenyu Zhang5
(1. School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,China;2.College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China;3. Chinese Electron Science and Technology Conglomerate 49th Research Institute,Harbin 150001, China;4. College of Automation,Harbin Engineering University,Harbin 150001,China;5. No.703 Research Institute of China Shipbuilding Industry Corporation,Harbin 150001, China)
Abstract:
In order to improve the reliability of hydrogen sensor, a novel strategy for full range of hydrogen sensor fault detection and recovery is proposed in this paper. Three kinds of sensors are integrated to realize the measurement for full range of hydrogen concentration based on relevance vector machine (RVM). Failure detection of hydrogen sensor is carried out by using the variance detection method. When a sensor fault is detected, the other fault-free sensors can recover the fault data in real-time by using RVM predictor accounting for the relevance of sensor data. Analysis, together with both simulated and experimental results, a full-range hydrogen detection and hydrogen sensor self-validating experiment is presented to demonstrate that the proposed strategy is superior at accuracy and runtime compared with the conventional methods. Results show that the proposed methodology provides a better solution to the full range of hydrogen detection and the reliability improvement of hydrogen sensor.
Key words: hydrogen concentration measurement full range fault detection fault recovery relevance vector machine
DOI:10.11916/j.issn.1005-9113.2015.06.005
Clc Number:TP277
Fund:
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Fault Detection and Recovery for Full Range of Hydrogen Sensor Based on Relevance Vector Machine
本站小编 哈尔滨工业大学/2019-10-23
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