Towards Contextual, Cost-Efficient Predictive Maintenance in Heavy-Duty Trucks
摘要
Predictive maintenance is a crucial yet challenging task in many industrial applications. This work explores a large repository of existing techniques and approaches to process historical data and predict if an asset is at risk of failure. In particular, the operational condition and specification of Scania trucks in heavy-duty applications is considered as part of the IDA 2024 Industrial Challenge.