Diagnosis of Bolt Loosening Fault in Structures with a Novel Second-Order Output Spectrum based Method

Quankun Li, Xingjian Jing

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This paper presents a novel second-order output spectrum (SOOS) based method to diagnose multiple bolt loosening faults in structures with a sensor chain. This new method is based on a recently-developed nth-order output spectrum estimation (nth-OSE) algorithm using only proper input-output data measured from a chain of sensors. The properties of the SOOS transmissibility of the sensor chain along physical structures are studied systematically. In the new method, the noise effect on accuracy of the estimation of fault indicators is investigated as well. The new method also considers more general nonlinear restoring forces not only due to faults but also caused by inherent nonlinearity in structure when deriving the properties of the SOOS transmissibility. Extensive simulation results demonstrate that the SOOS of the studied structure can be estimated efficiently, and the SOOS transmissibility can be used as an effective and reliable damage indicator for the detection and location of multiple bolt loosening faults in structures.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538679463
DOIs
Publication statusPublished - 6 Dec 2018
Event8th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2018 - Qingdao, Shangdong, China
Duration: 14 Sep 201816 Sep 2018

Publication series

Name2018 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2018

Conference

Conference8th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2018
Country/TerritoryChina
CityQingdao, Shangdong
Period14/09/1816/09/18

Keywords

  • Fault diagnosis
  • Nonlinear fault features
  • Nonlinearity
  • Sensor chain; Bolt loosening

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Signal Processing
  • Computer Networks and Communications

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