Fault detection based on a bio-inspired vibration sensor system

Zhengchao Li, Xingjian Jing, Jinyong Yu

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


A novel vibration sensor based on a bio-inspired nonlinear structure with quasi-zero stiffness (QZS) characteristic is developed for the real-time measurement of absolute vibration motion. With this bio-inspired vibration sensor, the problems of error accumulation and real-time performance induced by traditional measurement method using accelerometer can be effectively eliminated. Through taking full advantage of the bio-inspired vibration sensor in real-time measurement of absolute vibration motion, a model-based fault detection algorithm is proposed to cope with the on-line detection problem of weak fault with fast time-varying characteristic, which can not be solved by existing frequency-based and wavelet-based fault detection methods. Some results demonstrate that the fault detection algorithm based on this bio-inspired vibration sensor is effective.
Original languageEnglish
Title of host publication2017 Asian Control Conference, ASCC 2017
Number of pages6
ISBN (Electronic)9781509015733
Publication statusPublished - 7 Feb 2018
Event2017 11th Asian Control Conference, ASCC 2017 - Gold Coast Convention and Exhibition Centre, Gold Coast, Australia
Duration: 17 Dec 201720 Dec 2017

Publication series

Name2017 Asian Control Conference, ASCC 2017


Conference2017 11th Asian Control Conference, ASCC 2017
CityGold Coast

ASJC Scopus subject areas

  • Control and Optimization

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