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A second-order output spectrum approach for fault detection of bolt loosening in a satellite-like structure with a sensor chain

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Abstract

A novel nonlinear second-order output spectrum (SOOS) approach for feature characterization and fault detection and location of bolt loosening in a satellite-like structure is proposed in this study using a simple sensor chain. The new method is developed based on a recently developed nonlinear decomposition method using the data measured from a chain of sensors for feature abstraction, together with the properties of transfer ratios of the SOOS of a multi-degree-of-freedom system with nonlinear components developed in this study. The new method is compared with other related vibration-based methods and validated with real experimental results. It is shown that the nonlinear SOOS of the satellite-like structure subject to a harmonic vibration excitation can be calculated efficiently, and it can be effectively and conveniently used as the fault indicator for detection and location of the bolt loosening problem of different severity in this complex structure.

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Acknowledgements

The authors gratefully acknowledge the support from a GRF Project of HK RGC (No. 15206514), a NSFC project (No. 61374041) of China and a Grant from the Innovation and Technology Commission of the HKSAR Government to the Hong Kong Branch of National Rail Transit Electrification and Automation Engineering Technology Research Center.

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Authors and Affiliations

  1. Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong, China

    Quankun Li & Xingjian Jing

  2. Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China

    Xingjian Jing

  3. Hong Kong Branch of National Rail Transit Electrification and Automation Engineering Technology Research Center, Hong Kong, China

    Xingjian Jing

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  1. Quankun Li
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Correspondence to Xingjian Jing.

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Li, Q., Jing, X. A second-order output spectrum approach for fault detection of bolt loosening in a satellite-like structure with a sensor chain. Nonlinear Dyn 89, 587–606 (2017). https://doi.org/10.1007/s11071-017-3473-6

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