Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76233
Title: A second-order output spectrum approach for fault detection of bolt loosening in a satellite-like structure with a sensor chain
Authors: Li, QK 
Jing, XJ 
Keywords: Bolt loosening
Feature characterization
Fault detection and location
Nonlinearity
Issue Date: 2017
Publisher: Springer
Source: Nonlinear dynamics, 2017, v. 89, no. 1, p. 587-606 How to cite?
Journal: Nonlinear dynamics 
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.
URI: http://hdl.handle.net/10397/76233
ISSN: 0924-090X
EISSN: 1573-269X
DOI: 10.1007/s11071-017-3473-6
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

1
Last Week
0
Last month
Citations as of Nov 28, 2018

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
Citations as of Dec 5, 2018

Page view(s)

19
Last Week
0
Last month
Citations as of Dec 9, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.