Predictive Maintenance Based On Machine Learning In Public Transportation Vehicles

Predictive maintenance is an approach to prevent failure in a system by estimating the time of before mechanical component fails, so that decision can be properly planned. In public transport industry, whose efficiency heavily dependent on equipment, anticipating breakdowns vital. this study, predictive work was carried out order minimize problems such as malfunctions vehicles, stopping voyage, delaying journey and causing accident due unplanned breakdowns. Based instant vehicle health data obtained from IoT sensors, classification techniques were run machine learning. For planning, probability vehicles being normal malfunctioning examined with fuzzy logic outputs at speed. With applied study taken almost all faults could detected.