Vibration measurement and monitoring are essential in a wide variety of applications.
Vibration measurements are critical for diagnosing industrial machinery malfunctions …

Planetary gearboxes have various merits in mechanical transmission, but their complex
structure and intricate operation modes bring large challenges in terms of fault diagnosis …

Hydraulic piston pump is known as one of the most critical parts in a typical hydraulic
transmission system. It is imperative to probe into an accurate fault diagnosis method to …

This paper introduces a novel parallel deep neural network for fault diagnosis of drilling
pumps. It integrates the Convolutional Block Attention Module with the AlexNet and …

Most domain adaptation methods for fault diagnosis depend heavily on the precondition that
the source and target domain have an identical label space, which is hard to be satisfied in …

Conventional fault detection methods for wind turbine (WT) generators often grapple with
inadequate warning times and poor portability. These issues contribute to heightened safety …

Data-driven models for wind turbine (WT) gearbox health monitoring have garnered
significant attention. However, these models usually depend on extensive manually labeled …

Deep learning methods have been widely applied for fault diagnosis of wind turbine
gearboxes. However, a new model requires experts to be empirically handcrafted, which is …

This article is dedicated to study the impact of machine intelligence (MI) methods viz. various
types of Neural models for investigating dynamical systems arising in interdisciplinary areas …

As grid-connected wind farms become more common in the modern power system, the
question of how to maximize wind power generation while limiting downtime has been a …