Abstract
A novel vibration sensor based on a bio-inspired nonlinear structure with quasi-zero stiffness 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. In order to construct a comparatively exact model of the bio-inspired vibration sensor, an adaptive compensation method is applied to the estimation of the structure parameter. 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 real-time detection problem of weak fault with fast time-varying characteristic which cannot be exactly identified by existing frequency-based and wavelet-based fault detection methods. Theoretical analysis and experimental results demonstrate that the fault detection algorithm based on this bio-inspired vibration sensor is effective and efficient, compared with the existing ones and thus has a great potential in many real practical applications.
| Original language | English |
|---|---|
| Pages (from-to) | 10867-10877 |
| Number of pages | 11 |
| Journal | IEEE Access |
| Volume | 6 |
| Online published | 27 Dec 2017 |
| DOIs | |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | 11th Asian Control Conference (ASCC 2017) - Gold Coast Convention and Exhibition Centre, Gold Coast, Australia Duration: 17 Dec 2017 → 20 Dec 2017 |
Funding
This work was supported in part by the General Research Fund Project of Research Grants Council of Hong Kong under Grant 15206717, in part by National Natural Science Foundation of China Projects under Grant 61374041 and Grant 61673133, and in part by the Internal Research Funds from The Hong Kong Polytechnic University.
Research Keywords
- Bio-inspired vibration sensor
- real-time measurement of absolute motion
- vibration-based fault detection
- DIAGNOSIS
Publisher's Copyright Statement
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