Neural networks for sensor fault correction in structural control

被引:15
作者
Ankireddi, S [1 ]
Yang, HTY
机构
[1] Sun Microsyst Inc, Menlo Park, CA 94025 USA
[2] Univ Calif Santa Barbara, Dept Mech & Environm Engn, Santa Barbara, CA 93106 USA
来源
JOURNAL OF STRUCTURAL ENGINEERING-ASCE | 1999年 / 125卷 / 09期
关键词
D O I
10.1061/(ASCE)0733-9445(1999)125:9(1056)
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Two neural network architectures are proposed for use in structural control applications: a Failure Detection Neural Network and a Failure Accommodation Neural Network. The Failure Detection Network monitors structural responses and automatically detects sensor failures that can reduce control performance and effectiveness, while the Failure Accommodation Network accounts for the failed sensors. Together, the networks are a step toward development of an expert diagnostic system for structural applications. Examples of two simple structures are used to illustrate the features of the networks. Sensor failures are simulated during control operation, and the ability of the networks to detect and accommodate the failures is examined. The numerical results reveal that these networks show promise for automated intelligent fault detection, identification, classification, and accommodation, and as such may have potential use in real civil structures. Although the networks have been used to detect and account for sensor faults alone, they may also be trained for other kinds of failures. Thus, they may have potential for incorporation into an intelligent structural monitoring system.
引用
收藏
页码:1056 / 1064
页数:9
相关论文
共 18 条
[1]  
[Anonymous], P P 27 AS C SIGN SYS
[2]  
BOYD SP, 1991, LINEAR CONTROLLER DE
[3]  
CHEN CW, 1993, CONTROL DYNAMIC SYST, V57, P331
[4]   TIME-DELAY CONTROL OF STRUCTURES [J].
CHUNG, LL ;
LIN, CC ;
LU, KH .
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS, 1995, 24 (05) :687-701
[5]   ACTIVE CONTROL OF STRUCTURES USING NEURAL NETWORKS [J].
GHABOUSSI, J ;
JOGHATAIE, A .
JOURNAL OF ENGINEERING MECHANICS-ASCE, 1995, 121 (04) :555-567
[6]   KNOWLEDGE-BASED MODELING OF MATERIAL BEHAVIOR WITH NEURAL NETWORKS [J].
GHABOUSSI, J ;
GARRETT, JH ;
WU, X .
JOURNAL OF ENGINEERING MECHANICS-ASCE, 1991, 117 (01) :132-153
[7]  
GHABOUSSI J, 1998, EARTHQUAKE ENG STRUC, V124, P528
[8]  
KAZLAS PT, 1993, P IEEE WORKSH NEUR N, P431
[9]  
KRAMER MA, 1992, COMPUT CHEM ENG, V16, P313, DOI 10.1016/0098-1354(92)80051-A
[10]   NONLINEAR PRINCIPAL COMPONENT ANALYSIS USING AUTOASSOCIATIVE NEURAL NETWORKS [J].
KRAMER, MA .
AICHE JOURNAL, 1991, 37 (02) :233-243