Predictive maintenance is an effective tool for reducing maintenance costs. Its effectiveness
relies heavily on the ability to predict the future state of health of the system, and for this
survival models have shown to be very useful. Due to the complex behavior of system
degradation, data-driven methods are often preferred, and neural network-based methods
have been shown to perform particularly very well. Many neural network-based methods
have been proposed and successfully applied to many problems. However, most models …