Title :
Multi-wire sensor fault diagnosis based on characteristics of data
Author :
Deng Fang ; Chen Jie ; Chen Wenjie
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
Abstract :
This paper focuses on fault diagnosis for a class of widely used digital multi-line sensor. After definition of the multi-line sensor, the main features of the sensor´s output data are analyzed. A fault diagnosis method which does not rely on the system model where multi-wire sensor used is proposed. The method adopted by analyzing the changes of sensor´s output data and calculating the inherent characteristics to complete the fault diagnosis and isolation. Theoretical analysis and experimental results show that this method can diagnose and isolate multi-wire sensor fault accurately, and it is a practical fault diagnosis and isolation method.
Keywords :
data analysis; fault diagnosis; sampled data systems; sensor fusion; data analysis; digital multiline sensor; fault isolation; multiwire sensor fault diagnosis; Automation; Educational institutions; Electronic mail; Fault diagnosis; Kalman filters; Manganese; Optical sensors; Data Characteristics; Fault Diag1 nosis; Multi-wire Sensor; Optical Encoder;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6