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Mathematical Problems in Engineering
Volume 2014, Article ID 395057, 6 pages
Research Article

Application of D-S Evidence Fusion Method in the Fault Detection of Temperature Sensor

1College of Information and Communication Engineering, Harbin Engineering University, Room 148, Building 21, 145 Nantong Street, Harbin, Heilongjiang 150001, China
2Department of Electrical and Computer Engineering, Western New England University, Springfield, MA, USA

Received 20 January 2014; Accepted 2 April 2014; Published 23 April 2014

Academic Editor: Zhijun Zhang

Copyright © 2014 Zheng Dou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Due to the complexity and dangerousness of drying process, the fault detection of temperature sensor is very difficult and dangerous in actual working practice and the detection effectiveness is not satisfying. For this problem, in this paper, based on the idea of information fusion and the requirements of D-S evidence method, a D-S evidence fusion structure with two layers was introduced to detect the temperature sensor fault in drying process. The first layer was data layer to establish the basic belief assignment function of evidence which could be realized by BP Neural Network. The second layer was decision layer to detect and locate the sensor fault which could be realized by D-S evidence fusion method. According to the numerical simulation results, the working conditions of sensors could be described effectively and accurately by this method, so that it could be used to detect and locate the sensor fault.