期刊
JOURNAL OF SOUND AND VIBRATION
卷 399, 期 -, 页码 308-329出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jsv.2017.03.020
关键词
Fault detection; Multiple faults; Feature characterization
资金
- GRF project of Hong Kong RGC [15206514]
- NSFC Project of China [61374041]
- Innovation and Technology Commission of the HKSAR Government
- Hong Kong Polytechnic University
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. (C) 2017 Elsevier Ltd. All rights reserved.
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