@inproceedings{811570e9217a4ec1be1676b42fac5c55,
title = "Research on Visual Detection Method of Cantilever Beam Cracks Based on Vibration Modal Shapes",
abstract = "A visual detection method is proposed in this paper to identify cracks in a cantilever beam crack. The method takes full advantages of high spatial resolution of image sensing, relying only on cost-effective ordinary frame rate camera to record the process of free vibration of the cantilever beam, and combines with singular value decomposition method to obtain the vibration mode shapes of the cantilever beam. Then modal shape differences from baseline are taken as the features for detection and diagnosis The effectiveness of the first-order vibration mode shape difference in cantilever beam crack size and location detection is verified by both simulation and experiment.",
keywords = "Cantilever beam, Crack detection, Singular value decomposition, Vibration mode shape",
author = "Rongfeng Deng and Yubin Lin and Baoshan Huang and Hui Zhang and Fengshou Gu and Ball, {Andrew D.}",
note = "Funding Information: Supports from the National Natural Science Foundation of China (62076029), Scientific Research Platforms and Projects Funding of Guangdong Province (2021KTSCX186) and innovating major training projects of Beijing Institute of Technology, Zhuhai (XKCQ-2019?06) are gratefully acknowledged. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Congress and Workshop on Industrial AI, IAI 2021 ; Conference date: 06-10-2021 Through 07-10-2021",
year = "2022",
month = feb,
day = "7",
doi = "10.1007/978-3-030-93639-6_38",
language = "English",
isbn = "9783030936389",
series = "Lecture Notes in Mechanical Engineering",
publisher = "Springer, Cham",
pages = "434--444",
editor = "Ramin Karim and Alireza Ahmadi and Iman Soleimanmeigouni and Ravdeep Kour and Raj Rao",
booktitle = "International Congress and Workshop on Industrial AI 2021",
address = "Switzerland",
}