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

Quankun Li, Xingjian Jing

Research output: Journal article publicationJournal articleAcademic researchpeer-review

26 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)587-606
Number of pages20
JournalNonlinear Dynamics
Issue number1
Publication statusPublished - 1 Jul 2017


  • Bolt loosening
  • Fault detection and location
  • Feature characterization
  • Nonlinearity

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Aerospace Engineering
  • Ocean Engineering
  • Mechanical Engineering
  • Applied Mathematics
  • Electrical and Electronic Engineering

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