MoiréVib: Micron-level Vibration Detection based on Moiré Pattern

Detection and assessment of micro vibrations are crucial tasks in both industrial settings and daily life. However, vibration sensors attached to the target vibrator may introduce potential resonance, and wireless detection methods suffer from severe multipath interference. Fortunately, moiré-based sensing methods have gained recognition in recent years due to their ability to perceive micro motion changes. In this paper, we propose MoiréVib, a micro-vibration detection solution based on moiré patterns for dynamic and high-frequency environments. We attach a printed marker with periodic gratings to the surface of vibration devices to generate moiré patterns, which can amplify micro vibrations due to their low-frequency magnification effect. However, moiré pattern's changes caused by micro vibrations are often overwhelmed by random pixel-level noises, and the limited frame rate of the camera fails to capture high-frequency moiré features. To deal with these problems, we propose a spectrum-based method to refine and enhance the dynamic and micro moiré features. Additionally, we propose a dual-frame-rate-based fusion mechanism to realize high-frequency reconstruction of moiré features. Extensive experimental results show that MoiréVib can realize a median amplitude detection error of 4.37 μm and achieve frequency detection up to 300Hz with a frame rate range of 10~30 fps.

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Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3690700
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

MoiréVib: Micron-level Vibration Detection based on Moiré Pattern

Jingyi Ning, Sanglu Lu, Zhaowei Wu, Chuyu Wang et al.
Structural Health Monitoring Techniques
article

MoiréVib: Micron-level Vibration Detection based on Moiré Pattern

Jingyi Ning, Sanglu Lu, Zhaowei Wu, Chuyu Wang, Zhihao Yan, Baoliu Ye, Lei Xie, Yingying Chen
article en

Abstract

Detection and assessment of micro vibrations are crucial tasks in both industrial settings and daily life. However, vibration sensors attached to the target vibrator may introduce potential resonance, and wireless detection methods suffer from severe multipath interference. Fortunately, moiré-based sensing methods have gained recognition in recent years due to their ability to perceive micro motion changes. In this paper, we propose MoiréVib, a micro-vibration detection solution based on moiré patterns for dynamic and high-frequency environments. We attach a printed marker with periodic gratings to the surface of vibration devices to generate moiré patterns, which can amplify micro vibrations due to their low-frequency magnification effect. However, moiré pattern's changes caused by micro vibrations are often overwhelmed by random pixel-level noises, and the limited frame rate of the camera fails to capture high-frequency moiré features. To deal with these problems, we propose a spectrum-based method to refine and enhance the dynamic and micro moiré features. Additionally, we propose a dual-frame-rate-based fusion mechanism to realize high-frequency reconstruction of moiré features. Extensive experimental results show that MoiréVib can realize a median amplitude detection error of 4.37 μm and achieve frequency detection up to 300Hz with a frame rate range of 10~30 fps.

Rutgers, The State University of New Jersey (US), Nanjing University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 75%
Structural Health Monitoring Techniques
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