Ultrasonic Phased Array Testing and Identification of Multiple-Type Internal Defects in Carbon Fiber Reinforced Plastics Based on Convolutional Neural Network. [PDF]
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Soil Porosity Detection Method Based on Ultrasound and Multi-Scale Feature Extraction. [PDF]
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Terahertz time-domain spectro-imaging and hyperspectral imagery to investigate a historical Longwy glazed ceramic. [PDF]
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Near-Field Communication (NFC) Cyber Threats and Mitigation Solutions in Payment Transactions: A Review. [PDF]
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Deep Autoencoder for Ultrasound-Based Rail Flaw Detection
2022 Joint Rail Conference, 2022Abstract Safety is the principal concern of the railway industry, and rail internal defects can pose significant risks to safe and efficient railroad operations. Effective rail flaw detection, especially for transverse defects, is critical to prevent accidents and derailments due to broken rails.
Wu Yuning, Zhu Xuan
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A FPGA based ultrasonic rail flaw detection system
2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2017Ultrasonic testing is one of the main methods used for rail flaw detection. In order to detect the flaw in different positions in the rail and increase the detecting accuracy, multiple ultrasonic probes are needed. It is difficult for real time detecting when the rail testing vehicle runs at a high speed.
Houxiang Zhang
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