Abstract: This article proposes an expectation maximization sample transfer identification (EM-STI) algorithm to address the parameter identification problem in dynamic systems with nonideal data.

Osaka, Japan – Researchers have clarified the mechanisms by which energy loss is locally maximized at a certain rotational speed in gas-liquid two-phase flows driven by rotors, providing fundamental ...

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 ...