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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 9, ISSUE 2, FEBRUARY 2020

Train Wheel Fault Detection Using Machine Learning

Ashwini Jagadale, Radha Kadam, Abhishek Mourya, Anjesh Nair, Prof. Avinash B. Palave

DOI: 10.17148/IJARCCE.2020.9216

Abstract: The development of the country is based on its economy and Railways play an important role for developing countries like India to boost the economy of the nation. Wheel Defects are of major concern in today’s time as it may lead to poorer economy of the nation as well as it can be life threatening at moments. Hence it is very important to tackle the defects as early as possible. The main reason that these defects are not detected is due to the lateness in identifying them. Early detection can help save money, time and most importantly human being life. The paper proposes a Machine learning algorithm for detection of these Wheel defects at early stage and informing the same.

Keywords: Machine Learning, Defects, CNN-based classification, Image Processing, Image Acquisition, etc

How to Cite:

[1] Ashwini Jagadale, Radha Kadam, Abhishek Mourya, Anjesh Nair, Prof. Avinash B. Palave, “Train Wheel Fault Detection Using Machine Learning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2020.9216