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Rail flaw detection: overview and needs for future developments
NDT and E International, 2004Rail Flaw Detection has an important part to play in ensuring the safety of the world's railroads. Recent accidents caused by broken rails have focused attention on the technologies that enable the detection of flaws in railroad rail. This paper reviews the technologies currently employed, along with examples of recent field applications.
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A novel text-style sequential modeling method for ultrasonic rail flaw detection
2020 IEEE Vehicle Power and Propulsion Conference (VPPC), 2020Integrity of rails is the foundation of safe rail transportation. It is critical to detect internal rail flaws in time, and one popular solution to this issue is ultrasonic techniques. On the other hand, long short-term memory (LSTM) has been proven in text classification to which we think the ultrasonic rail flaw detection can be quite similar.
Xiao Luo +5 more
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Rail flaw detection system based on electromagnetic acoustic technique
2010 5th IEEE Conference on Industrial Electronics and Applications, 2010As a result of the development of higher speeds and heavier loads of rail networks, rail defects have been more serious than ever before. Current piezoelectric ultrasonic detection devices are often inadequate for rail inspection, due to high misjudgement or undetected error rate, and complex structure.
Lei Kang, Guofu Zhai
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Flaw detection in high speed train's rail based on EMD and PSD
2011 IEEE International Instrumentation and Measurement Technology Conference, 2011This paper proposes a new flaw detection method based on EMD and PSD with application to high speed train's rail. The signals in different scenarios are generated by utilizing the finite element model. In this paper, the empirical mode decomposition method is used to decompose the investigated signals into intrinsic mode functions and the flaw features
Xin Zhang, Yi Shen
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Non-contact rail flaw detection system: first field test
SPIE Proceedings, 2007Researchers at UCSD, with the initial support of NSF and the current support of the Federal Railroad Administration (FRA), have been working on a flaw detection prototype for rails that uses non-contact ultrasonic probing and robust data processing algorithms to provide high speed and high reliability defect detection in these structures. Besides the
Ivan Bartoli
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Reseach on Super-layer Image Detection Method for Rail Flaw
2021 IEEE Vehicle Power and Propulsion Conference (VPPC), 2021Hao Yuan
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PROBLEMS OF HIGH-SPEED RAIL FLAW DETECTION
Kontrol'. Diagnostika, 2021The main factors that reduce the quality of non-destructive testing of rails during high-speed scanning are considered. The most significant factors are the quality and volume of obtaining primary information about the condition of the monitored rails. It is shown that, at high-speed (up to 120 km/h) control, the compression of the defect location zone
A. A. Markov, E. A. Maksimova
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Vibration Signal Analysis For Rail Flaw Detection
2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), 2019Rails are the foundation of rail transport, and any defects of the rails may directly affect the running state of the train or even lead to major safety incidents. However, the existing algorithms for rail crack detection are too expensive and difficult to perform on-line real-time monitoring.
Bin Li +3 more
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Detect the rail track flaw by estimating the camera shaking
17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014In this paper, the authors present a method of detecting the rail track bends and flaws. Different from the traditional machine-vision based methods which analyze the images of the rail surface, the authors estimate the shake of the camera - which is caused by the flaw or bend of the rail track - from the video used for railway environment surveillance.
Liang Wang 0018 +4 more
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On the Possibility of In-Process Magnetic Detection of Flaws in Rails
Russian Journal of Nondestructive Testing, 2019A procedure has been developed to detect surface defects in the head and foot of a rail using a magnetic method involving thin-film magnetoresistive field sensors. The setup consists of a system for moving the rail in the longitudinal direction, a magnetizing solenoid, cartridges with field sensors for inspecting the rail head and foot, a DC ...
A. S. Shleenkov +3 more
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