A novel defect localization method based on time reversal focusing method and Akaike information criterion with AE technique
Author:
Affiliation:
1. Soochow University,School of Rail Transportation,Suzhou,China
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10598401/10598402/10598696.pdf?arnumber=10598696
Reference12 articles.
1. The Design of Pressure Vessel Failure Risk Estimation Program Due to Uniform Corrosion Based on Machine Learning with Artificial Neural Networks
2. Rail Flaw Detection Technologies for Safer, Reliable Transportation: A Review
3. A stress intensity predictive model for reactor pressure vessel via coupled signal processing and machine learning model
4. Pressure vessel leakage detection method based on online acoustic emission signals;Liu;Insight-Non-Destructive Testing and Condition Monitoring,2023
5. Fingerprint feature and dynamic threshold mechanism based on acoustic emission for bearing fault detection
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