Smart Machine for Crack Detection of Railway Track using Photodiode Assembly
PrLalit Narayan1, Ankit Pandit2, Amrish Kumar Singh3

1Dr. Lalit Narayan, Mechanical Engineering, Rabindranath Tagore University, Bhopal.
2Ankit Pandit, Department of Electronics & Communication Engineering, Rabindranath Tagore University, Bhopal.
3Amrish Kumar Singh, Department of Electronics & Communication Engineering, Rabindranath Tagore University, Bhopal.

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3679-3681 | Volume-8 Issue-12, October 2019. | Retrieval Number: L26401081219/2019©BEIESP | DOI: 10.35940/ijitee.L2640.1081219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Most of the commercial goods are transported using railway trains and therefore, any problem in above network has the capacity to incur damage to the economy of that country. This model illustrates a cost effective yet robust solution to the issues related to railway crack detection. The project discusses the technical and design aspects in details alongside a better crack detection algorithm. The model also presents data related to all the components used in this system. The currently prevailing solution in the detection of cracks in rails involve periodic maintenance connected to occasional monitoring method like visual inspection, ultrasonic inspection, eddy current and laser methods.
Keywords: Railway Track, Crack Sensing, Microcontroller, Infrared Sensor, Trains, Driver Motor
Scope of the Article: Mechanical Engineering