Application of Computational Intelligence for Sensor Fault Detection and Isolation

被引：0
作者：
Jabbari, A.
Jedermann, R.
Lang, W.
机构：
来源：
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 22 | 2007年 / 22卷
关键词：
Fault detection and Isolation; Neural network; Temperature measurement; measurement approximation and classification;
D O I：
暂无
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The new idea of this research is application of a new fault detection and isolation (FDI) technique for supervision of sensor networks in transportation system. In measurement systems, it is necessary to detect all types of faults and failures, based on pre-defined algorithm. Last improvements in artificial neural network studies (ANN) led to using them for some FDI purposes. In this paper, application of new probabilistic neural network features for data approximation and data classification are considered for plausibility check in temperature measurement. For this purpose, two-phase FDI mechanism was considered for residual generation and evaluation.
引用
收藏
页码：503 / 508
页数：6
相关论文
共 27 条
[1]  
[Anonymous], ADV METHODS NEURAL C
[2]  
[Anonymous], 1992, NEURAL NETWORKS FUZZ
[3]  
Balle P, 1997, P AMER CONTR CONF, P468, DOI 10.1109/ACC.1997.611843
[4]  
BETTA G, 1997, P 14 IMEKO WORLD C T, V7, P88
[5]  
BETTA G, 2000, IEEE T INSTRUMENTATI
[6]  
BETTA G, 1997, P IEEE WORKSH EM TEC, P39
[7]   ORTHOGONAL LEAST-SQUARES LEARNING ALGORITHM FOR RADIAL BASIS FUNCTION NETWORKS [J].
CHEN, S ;
COWAN, CFN ;
GRANT, PM .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1991, 2 (02) :302-309
[8]  
CHEN TM, 1999, MACH INTELL, V1, P63
[9]   Neural networks-based scheme for system failure detection and diagnosis [J].
Chen, YM ;
Lee, ML .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2002, 58 (02) :101-109
[10]  
Cohen O., 2001, Proceedings of the IASTED International Conference. Artificial Intelligence and Applications, P282
123