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

作者：Dou, Zheng; Xu, Xiaochun; Lin, Yun^*; Zhou, Ruolin

来源：Mathematical Problems in Engineering, 2014, 2014: 395057.

DOI：10.1155/2014/395057

• Basic belief assignment
• BP neural networks
• D-S evidences
• Decision layers
• Drying process
• Second layer
• Sensor fault
• Working practices

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.

• 出版日期2014
• 单位哈尔滨工程大学