Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76181
Title: Fault diagnosis of sensor networked structures with multiple faults using a virtual beam based approach
Authors: Wang, H 
Jing, XJ 
Keywords: Fault detection
Multiple faults
Feature characterization
Issue Date: 2017
Publisher: Academic Press
Source: Journal of sound and vibration, 2017, v. 399, p. 308-329 How to cite?
Journal: Journal of sound and vibration 
Abstract: This paper presents a virtual beam based approach suitable for conducting diagnosis of multiple faults in complex structures with limited prior knowledge of the faults involved. The "virtual beam", a recently-proposed concept for fault detection in complex structures, is applied, which consists of a chain of sensors representing a vibration energy transmission path embedded in the complex structure. Statistical tests and adaptive threshold are particularly adopted for fault detection due to limited prior knowledge of normal operational conditions and fault conditions. To isolate the multiple faults within a specific structure or substructure of a more complex one, a 'biased running' strategy is developed and embedded within the bacterial-based optimization method to construct effective virtual beams and thus to improve the accuracy of localization. The proposed method is easy and efficient to implement for multiple fault localization with limited prior knowledge of normal conditions and faults. With extensive experimental results, it is validated that the proposed method can localize both single fault and multiple faults more effectively than the classical trust index subtract on negative add on positive (TI-SNAP) method.
URI: http://hdl.handle.net/10397/76181
ISSN: 0022-460X
EISSN: 1095-8568
DOI: 10.1016/j.jsv.2017.03.020
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