Show simple item record

dc.contributor.authorMa, S.
dc.contributor.authorJiang, S.
dc.contributor.authorLi, Jun
dc.date.accessioned2018-12-13T09:07:46Z
dc.date.available2018-12-13T09:07:46Z
dc.date.created2018-12-12T02:46:39Z
dc.date.issued2019
dc.identifier.citationMa, S. and Jiang, S. and Li, J. 2019. Structural damage detection considering sensor performance degradation and measurement noise effect. Measurement. 131: pp. 431-442.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/70829
dc.identifier.doi10.1016/j.measurement.2018.08.040
dc.description.abstract

In the real civil structures, material deterioration, overloading and environmental corrosion inevitably lead to sensor performance degradation or sensor fault. Sensor performance degradation or sensor fault usually introduce observable changes in the measured structural responses, which may be incorrectly interpreted as structural damage. This paper proposes a novel approach to quickly distinguish sensor fault from structural damage and locate the faulty or degraded sensors. Two steps are involved in this approach. In the first step, the root mean square of the generalized likelihood ratio test (GLRT) is used to detect and localize the structural damage or degraded sensors. In the second step, a new index is proposed used along with the statistical process control chart to distinguish sensor performance degradation from structural damage. The proposed index is the percentage of the extreme value of the largest principal component scores of the generalized likelihood ratio, which not only has excellent noise tolerance but also can distinguish sensor performance degradation from structural damage. The applicability and efficiency of the proposed approach are validated by numerical studies on a planar 11-element truss structure and experimental studies on a simply-supported steel beam in the laboratory. The results demonstrate that the proposed approach can locate the damage accurately when taking into account of sensor performance degradation and environmental noise in the measurements. The proposed index is able to accurately and quickly determine the source of the novelty in the responses.

dc.publisherElsevier
dc.titleStructural damage detection considering sensor performance degradation and measurement noise effect
dc.typeJournal Article
dcterms.source.volume131
dcterms.source.startPage431
dcterms.source.endPage442
dcterms.source.issn0263-2241
dcterms.source.titleMeasurement
curtin.departmentSchool of Civil and Mechanical Engineering (CME)
curtin.accessStatusFulltext not available


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record