TY - GEN
T1 - Fault detection based on a bio-inspired vibration sensor system
AU - Li, Zhengchao
AU - Jing, Xingjian
AU - Yu, Jinyong
PY - 2018/2/7
Y1 - 2018/2/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85047478980&partnerID=8YFLogxK
U2 - 10.1109/ASCC.2017.8287467
DO - 10.1109/ASCC.2017.8287467
M3 - Conference article published in proceeding or book
VL - 2018-January
T3 - 2017 Asian Control Conference, ASCC 2017
SP - 1918
EP - 1923
BT - 2017 Asian Control Conference, ASCC 2017
PB - IEEE
T2 - 2017 11th Asian Control Conference, ASCC 2017
Y2 - 17 December 2017 through 20 December 2017
ER -