Looseness inspection of fasteners based on digital shearing speckle pattern interferometry and convolutional neural network
Author:
Affiliation:
1. Beijing Jiaotong University, Key Laboratory of Luminescence and Optical Information of Ministry of Education, Beijing, China
2. China Special Equipment Inspection and Research Institute, Beijing, China
Publisher
SPIE-Intl Soc Optical Eng
Reference27 articles.
1. Online Condition Monitoring of a Rail Fastening System on High-Speed Railways Based on Wavelet Packet Analysis
2. Looseness Identification of Track Fasteners Based on Ultra-Weak FBG Sensing Technology and Convolutional Autoencoder Network
3. Continuous Monitoring of Residual Torque of Loose Bolt in a Bolted Joint
4. Monitoring of multi-bolt connection looseness using entropy-based active sensing and genetic algorithm-based least square support vector machine
5. Vision-based detection of loosened bolts using the Hough transform and support vector machines
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1. A Vision-Based Bolt Looseness Detection Method for a Multi-Bolt Connection;Applied Sciences;2024-05-22
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