An IoT Design to Predict Mechanical Failure in Vehicles and Effective Replacement
S.S. Akilan1, D. Kayathri Devi2
1S.S. Akilan, Department of Computer Applications, Mepco Schlenk Engineering College, Sivakasi (Tamil Nadu), India.
2D. Kayathri Devi, Department of Information Technology, Kamaraj College of Engineering and Technology, Virudhunagar (Tamil Nadu), India.
Manuscript received on 05 May 2019 | Revised Manuscript received on 17 May 2019 | Manuscript Published on 23 May 2019 | PP: 560-566 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F10990476S519/2019©BEIESP
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© 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: As there is an increasing need for monitoring the mechanical failures in the vehicle to ensure the high safety of the customers by avoiding possible accidents, researches have been going on using IoT. However, many failures occur on vehicles due to lots of reasons, here proposed an IoT based framework to address the way to quick and effective recovery from most of the common critical failures. In this work a set of sensors and microcontrollers (MC) are used to continuously monitor the critical factors of the vehicles, the data gathered by the sensors are mined to predict the possible future failure prediction. This research shows a positive outcome to predict the possibility of failures with higher accuracy.
Keywords: Failure Prediction, Vehicle Monitoring, Internet of Things (IoT), Data Mining.
Scope of the Article: IoT