TY - GEN
T1 - Sensor failure detection and diagnosis via polynomial chaos theory - Part I
T2 - 2013 Chinese Intelligent Automation Conference, CIAC 2013
AU - Li, Weilin
AU - Zhang, Xiaobin
AU - Yao, Wenli
AU - Li, Huimin
PY - 2013
Y1 - 2013
N2 - Sensors are widely used in engineering applications to provide measurements to the control and protection centers. In order to achieve higher level reliability of the whole system in engineering applications, polynomial chaos theory (PCT) is applied for sensor failure detection and diagnosis (SFDD) considering parameter uncertainties. The proposed approach allows for independent model development by propagation of uncertainty through systems. First, a review of the SFDD methods both at home and abroad is given. Then, the standard process for PCT expansion, together with the proposed new SFDD algorithm is presented. Simulation verification with a DC/DC boost converter has also been done, and the results show good consistency with the theoretical analysis.
AB - Sensors are widely used in engineering applications to provide measurements to the control and protection centers. In order to achieve higher level reliability of the whole system in engineering applications, polynomial chaos theory (PCT) is applied for sensor failure detection and diagnosis (SFDD) considering parameter uncertainties. The proposed approach allows for independent model development by propagation of uncertainty through systems. First, a review of the SFDD methods both at home and abroad is given. Then, the standard process for PCT expansion, together with the proposed new SFDD algorithm is presented. Simulation verification with a DC/DC boost converter has also been done, and the results show good consistency with the theoretical analysis.
KW - Data reconstruction
KW - Parameter uncertainty
KW - Polynomial chaos theory
KW - Sensor failure detection and diagnosis
UR - http://www.scopus.com/inward/record.url?scp=84881065773&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-38524-7_10
DO - 10.1007/978-3-642-38524-7_10
M3 - 会议稿件
AN - SCOPUS:84881065773
SN - 9783642385230
T3 - Lecture Notes in Electrical Engineering
SP - 97
EP - 105
BT - Proceedings of 2013 Chinese Intelligent Automation Conference
Y2 - 23 August 2013 through 25 August 2013
ER -