Generation and classification models of ultrasonic signals in aged cast austenitic stainless steel (CASS)
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Reference17 articles.
1. In-service inspection ultrasonic testing of reactor pressure vessel welds for assessing flaw density and size distribution per 10 CFR 50.61 a, alternate fracture toughness requirements for protection against pressurized thermal shock;Sullivan,2011
2. Machine learning for ultrasonic nondestructive examination of welding defects: a systematic review;Sun;Ultrasonics,2023
3. Applications of machine learning in pipeline integrity management: a state-of-the-art review;Rachman;Int. J. Pres. Ves. Pip.,2021
4. Classification of ultrasonic signals of thermally aged cast austenitic stainless steel (CASS) using machine learning (ML) models;Kim;Nucl. Eng. Technol.,2022
5. Performance enhancement of convolutional neural network for ultrasonic flaw classification by adopting autoencoder;Munir;NDT E Int.,2020
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