As a significant role in industrial equipment, rotating machinery fault diagnosis (RMFD)
always draws lots of attention for guaranteeing product quality and improving economic …

Non-Invasive Inspection (NII) has become a fundamental tool in modern industrial
maintenance strategies. Remote and online inspection features keep operators fully aware …

Several methods of the modern intelligent anomaly detection and fault diagnosis have been
developed to provide more efficient solutions. However, lacking of fault samples, the training …

A rolling bearing vibration signal is nonlinear and non-stationary and has multiple
components and multifractal properties. A rolling-bearing fault-diagnosis method based on …

Bearing pitting, one of the common faults in mechanical systems, is a research hotspot in
both academia and industry. Traditional fault diagnosis methods for bearings are based on …

The demand for intelligent fault diagnosis algorithms has increased dramatically in the field
of aeroengines. Traditional bearing fault diagnosis algorithms mainly extract features …

This article presents a technique to carry out fault classification using an equal-angle integer-
period array convolutional neural network (EAIP-CNN) to process the electrostatic signal of …

Most of the modern industry drives uses an induction motor as the main drive system. The
properties like compact size, low cost, and wide range of speed control makes induction …

Vibration signals resulting from railway rolling bearings are nonstationary by nature; this
paper proposes a hybrid approach for the fault diagnosis of railway rolling bearings using …

Condition monitoring of rotary devices such as helical gears is an issue of great significance
in industrial projects. This paper introduces a feature extraction method for gear fault …