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Indexed by:期刊论文

Date of Publication:2017-10-01

Journal:MEASUREMENT

Included Journals:SCIE、EI、Scopus

Volume:109

Issue:109

Page Number:200-214

ISSN No.:0263-2241

Key Words:Sensor validation; Fault detection; Isolation and reconstruction; Structural health monitoring

Abstract:Sensor faults, which occur when sensor outputs display unacceptable deviations from the true values of measured variable, will cause false alarms and missed detections in structural health monitoring (SHM) systems. The study about sensor validation is a relatively new research direction in the SHM field and it is meaningful to guarantee the accuracy and reliability of health-condition evaluations for monitored structures. This paper provides a comprehensive review of current research and development activities in sensor validation methodology for SHM. At first, seven typical sensor fault types are described and a detailed methodology categorization is provided. Following that, the progresses on sensor validation, which mainly focusses on the detection, isolation and reconstruction of sensor faults, are reviewed based on the categorization. Finally, concluding remarks and promising research efforts about sensor validation are summarized in detail. (C) 2017 Published by Elsevier Ltd.