Abstract: Predictive maintenance (PdM) is useful for engineers to schedule maintenance flexibly, to operate equipment efficiently, and also to avoid unexpected downtime. Remaining useful life (RUL) ...

Abstract: Linear classifiers with random convolution kernels are computationally efficient methods that need no design or domain knowledge. Unlike deep neural networks, there is no need to hand-craft ...