Experiment and detection method for loose bolts in sensor installation

Abstract Aiming at the loosening problem of the sensor connected by bolts in the process of vibration signal acquisition, the experiment is designed and the method of the problem is studied. The sensor’s different loose degree is designed by using the vibration table. The frequency response characteristics and energy distribution of the sensor under different degrees of looseness are observed by broadband white noise. The variational mode decomposition method is used to extract the vibration response characteristics of different states. The classification algorithm is used to classify the features. According to the model prediction results, it shows that the method can effectively detect the loose state of the acceleration sensor.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-10-01
DOI
https://doi.org/10.1088/1742-6596/2862/1/012007
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

Experiment and detection method for loose bolts in sensor installation

Jin Li, Y.-T. Wu, Zhenyu Tao, Fahui Wan
Journal of Physics Conference Series
Structural Health Monitoring Techniques
article

Experiment and detection method for loose bolts in sensor installation

Jin Li, Y.-T. Wu, Zhenyu Tao, Fahui Wan
article en

Abstract

Abstract Aiming at the loosening problem of the sensor connected by bolts in the process of vibration signal acquisition, the experiment is designed and the method of the problem is studied. The sensor’s different loose degree is designed by using the vibration table. The frequency response characteristics and energy distribution of the sensor under different degrees of looseness are observed by broadband white noise. The variational mode decomposition method is used to extract the vibration response characteristics of different states. The classification algorithm is used to classify the features. According to the model prediction results, it shows that the method can effectively detect the loose state of the acceleration sensor.

Journal of Physics Conference SeriesVol. 2862(1)
Northwestern Polytechnical University (CN)
Affordable and clean energy
Openalex Percentile: Top 80%
Structural Health Monitoring Techniques
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