halts and extend their operational lifespan. The most recent development in smart maintenance is Predictive Maintenance (PdM … challenging task in predictive maintenance is to detect the fault, diagnose the type of fault, and explain why a particular fault … is predicted. This study proposes an effective Explainable Predictive Maintenance strategy considering (1) test setup …

great potential in the field of Predictive Maintenance. In this thesis, a methodology to determine and compare the average … maintenance costs per cycle for Reactive, Preventive, and Predictive Maintenance, as well as a Reference Case is developed. This … suggest that maintenance costs per cycle for Predictive Maintenance are 36.0 % lower than for Preventive Maintenance and 88 …

great potential in the field of Predictive Maintenance. In this thesis, a methodology to determine and compare the average … maintenance costs per cycle for Reactive, Preventive, and Predictive Maintenance, as well as a Reference Case is developed. This … suggest that maintenance costs per cycle for Predictive Maintenance are 36.0 % lower than for Preventive Maintenance and 88 …

approach based on the combined use of Long Short-Term Memory (LSTM) neural networks and Bayesian inference for the predictive … maintenance of an industrial plant. Hotelling's T2 and Q metrics, assessing the degree of compatibility between the time …

-driven manufacturing. Predictive maintenance (PdM) has therefore become the prominent approach for fault detection and diagnosis (FD/D) of …

architecture for developing a system that covers the needs for predictive maintenance in the service supply chain. It is based on …

. Every component of the production needs to be continuously monitored, which is the basis for predictive maintenance (PdM …