A virtual beam-like structure approach for fault diagnosis of complex structures

Hong Wang, Xingjian Jing

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

Abstract

This paper proposes a new model-free method for fault diagnosis of complex structures based on the optimal vibration sensor chains. Energy transmission paths from the vibration source to every region of structure are studied for fault detection and fault isolation. Along the energy transmission path, the sensors are distributed as the networks on the complex structure. Each energy transmission path consisting of a created sensor chain is regarded as a virtual beam-like structure. By this way, the complex structure could be decomposed of some virtual beam-like structures and the fault diagnosis of the complex structure is then transformed as the fault diagnosis of some beam-like structures. This method is named as virtual beam-like structure approach. The novelty of the proposed method is that it has no requirement of prior knowledge of the faults and stationary response data, no limitation to specific structure design and is easy to implement. An application for fault diagnosis of the bolt-loosening in a satellite-like structure is taken as an example to illustrate. The results show that the proposed method is eligible of fault diagnosis for the complex structures.
Original languageEnglish
Title of host publicationProceedings of the 35th Chinese Control Conference, CCC 2016
PublisherIEEE Computer Society
Pages6415-6420
Number of pages6
Volume2016-August
ISBN (Electronic)9789881563910
DOIs
Publication statusPublished - 26 Aug 2016
Event35th Chinese Control Conference, CCC 2016 - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Conference

Conference35th Chinese Control Conference, CCC 2016
CountryChina
CityChengdu
Period27/07/1629/07/16

Keywords

  • Fault diagnosis
  • feature selection
  • fuzzy clustering
  • virtual beam

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modelling and Simulation

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