Predictive Maintenance for Commercial Vehicles Tyres Using Machine Learning

Tyre Maintenance is one of the most common issues on the road which causes fleet owners to lag in on-time delivery. The tyre is the main component of the vehicle. It is always required to be fit to ensure the vehicle’s safety on the road. Heavy vehicles like industry trucks, containers, dumpers, etc. are more prone to tyre wear due to conditions like overloading, continuous traveling, and bad road conditions, driver behavior compared to a personal vehicle. This paper presented a machine learning (ML) based regression model to solve the fleet company’s real-life problem to predict the remaining useful life of commercial vehicle tyre based on vehicle and tyre past and current condition, and performance. For prediction factors like Current Non-Skid Depth (NSD) of the tyre, Standard NSD, Goods carried by vehicle, Road conditions and Load conditions, and Wear pattern per km are considered. Data for the above A. company is collected from the fleet care company.