Experimental results show that the classification model based on AE sensors designed for bolt corrosion levels of 0%, 25%, 50%, 75%, and 100% outperforms traditional methods with higher identification accuracy.
Aug 4, 2024 · We design and implement a bolt corrosion classification system based on a Wireless Acoustic Emission Sensor Network (WASN). Initially, WASN ...
Aug 2, 2024 · This paper aims to detect and classify bolt corrosion levels accurately. We design and implement a bolt corrosion classification system based on ...
This paper aims to detect and classify bolt corrosion levels accurately. We design and implement a bolt corrosion classification system based on a Wireless ...
This paper aims to detect and classify bolt corrosion levels accurately. We design and implement a bolt corrosion classification system based on a Wireless ...
Research on a Method for Classifying Bolt Corrosion Based on an Acoustic Emission Sensor System. Article. Full-text available. Aug 2024. Shuyi Di ...
The innovation of this paper is the development of an automatic monitoring method for bolt tightness using acoustic emission (AE) and deep learning (DL).
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Nov 15, 2023 · In this paper, a error compensation model based on solid coupling (ECM-SolidCoup) is proposed for in-situ measurement of bolt preload without the requirement ...
This paper summarizes recent investigations on looseness detection in bolted assemblies based on traditional methods and machine learning algorithms and ...
Jul 8, 2022 · In this paper, the author proposes a new strategy based on the acoustic emission (AE) technique to detect bolt looseness.