Next-Gen Off-Highway Maintenance by Leveraging Digital Twins

This paper explores how digital twins can be leveraged to enhance the reliability, efficiency, and longevity of off-highway vehicles. It examines the utilization of digital twins to revolutionize maintenance practices, offering a next-generation approach to vehicle health monitoring. By creating dynamic virtual models that mirror physical assets, digital twins enable continuous monitoring and advanced analytics, facilitating timely and accurate predictive maintenance. This approach reduces unexpected breakdowns, optimizes maintenance schedules, and improves overall vehicle performance. The paper delves into the technical aspects of digital twin implementation, the challenges faced, and the substantial benefits realized in the off-highway vehicle sector. Through comprehensive case studies, demonstrate how digital twins can transform maintenance strategies, ensuring that off-highway vehicles are prepared to meet future operational demands with enhanced resilience and efficiency.