Application of Object Detection Algorithms in Non-Destructive Testing of Pressure Equipment: A Review

Non-destructive testing (NDT) techniques play a crucial role in industrial production, aerospace, healthcare, and the inspection of special equipment, serving as an indispensable part of assessing the safety condition of pressure equipment. Among these, the analysis of NDT data stands as a critical...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 24; no. 18; p. 5944
Main Authors:	Wang, Weihua, Chen, Jiugong, Han, Gangsheng, Shi, Xiushan, Qian, Gong
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 01.09.2024 MDPI
Subjects:	Acoustic emission testing Algorithms Automation Computational linguistics Corrosion Deep learning Grain size Language processing Medical imaging equipment Natural language interfaces Neural networks non-destructive testing (NDT) object detection pressure equipment Review New York deep learning object detection non-destructive testing (NDT) pressure equipment
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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