Quantitative Monitoring of Bolt Looseness Using Multichannel Piezoelectric Active Sensing and CBAM-Based Convolutional Neural Network

Quantitative Monitoring of Bolt Looseness Using Multichannel Piezoelectric Active Sensing and CBAM-Based Convolutional Neural Network

The bolted connection is widely utilized in engineering to practically and rigidly couple structural components. The integrity of the connection is paramount to the safety of the structure and has prompted the development of many monitoring methods, including the piezoelectricity-based active sensin...

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Bibliographic Details
Main Authors: Yixuan Chen, Jian Jiang, Xiaojun Qin, Qian Feng
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Materials
Subjects:
bolt looseness
quantitative monitoring
multichannel active sensing method
convolutional neural network
convolutional block attention module
Online Access:https://www.frontiersin.org/articles/10.3389/fmats.2021.677642/full

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https://www.frontiersin.org/articles/10.3389/fmats.2021.677642/full

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