Neural networks for sensor fault correction in structural control

Citation
S. Ankireddi et Hty. Yang, Neural networks for sensor fault correction in structural control, J STRUC ENG, 125(9), 1999, pp. 1056-1064
Citations number
18
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Civil Engineering
Journal title
JOURNAL OF STRUCTURAL ENGINEERING-ASCE
ISSN journal
0733-9445 → ACNP
Volume
125
Issue
9
Year of publication
1999
Pages
1056 - 1064
Database
ISI
SICI code
0733-9445(199909)125:9<1056:NNFSFC>2.0.ZU;2-K
Abstract
Two neural network architectures are proposed for use in structural control applications: a Failure Detection Neural Network and a Failure Accommodati on Neural Network. The Failure Detection Network monitors structural respon ses and automatically detects sensor failures that can reduce control perfo rmance and effectiveness, while the Failure Accommodation Network accounts for the failed sensors. Together, the networks are a step toward developmen t of an expert diagnostic system for structural applications. Examples of t wo simple structures are used to illustrate the features of the networks. S ensor failures are simulated during control operation, and the ability of t he networks to detect and accommodate the failures is examined. The numeric al results reveal that these networks show promise for automated intelligen t fault detection, identification, classification, and accommodation, and a s such may have potential use in real civil structures. Although the networ ks have been used to detect and account for sensor faults alone, they may a lso be trained for other kinds of failures. Thus, they may have potential f or incorporation into an intelligent structural monitoring system.