Abstract: It has been demonstrated that fast convolutional sparse dictionary learning (FCSDL) is a useful instrument for diagnosing rolling bearing faults and can recover rolling bearing fault shocks ...

We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...

Abstract: This paper proposes a data-driven voltage and power regulation method based on model predictive control (MPC) for active distribution networks (ADNs), which doesn’t rely on accurate system ...