Effectuation of Machine Learning for Fault Classification on Vehicle Power Transmission System

The present paper discusses about a smart vehiclewhich has the ability to identify any kind of fault occurrence in the power transmission system. It also gives the risk alerts' to the vehicle driver through LCD and at the same time by using a mobile application. This smart vehicle consists of different sensors which are located at the power transmission system of the vehicle. The sensors values from the vehicle are collected and sent to the controller which is compared with some specified independent values. The compression is done using machine learning algorithms which are very useful for achieving a system with high accuracy. With this design we can even achieve the concept of internet of vehicle (IoV), as we are using GPS to track the vehicle and a mobile application to indicate the risk. Thetest was run and outcome of the test was very effective. With the help of this system we can reduce losses of human life and increase the vehicle life span. To achieve the required system we are using machine learning and python, as they are the recentera high level technologies and provide great accuracy.