Abstract
Head checking defects pose a major threat to the safety of railway traffic. Because of their location and small dimensions they cannot be detected with the use of traditional ultrasonic methods. An alternative method is an optical method using a laser diode as the transmitter and a PIN diode as the receiver. Head checking defects cause the dispersion of laser rays what in turn causes the generation of undetermined signal containing the information about defects. Because of this the authors dealt with algorithms used to extract and classify these defects. Wavelet transforms and fuzzy sets have been proposed. The efficiency of these methods has been compared.
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Lesiak, P., Bojarczak, P. (2010). Application of Wavelets and Fuzzy Sets to the Detection of Head-Checking Defects in Railway Rails. In: Mikulski, J. (eds) Transport Systems Telematics. TST 2010. Communications in Computer and Information Science, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16472-9_36
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DOI: https://doi.org/10.1007/978-3-642-16472-9_36
Publisher Name: Springer, Berlin, Heidelberg
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