Sensor techniques and emerging CNN models have greatly facilitated the development of
collaborative fault diagnosis. Existing CNN models apply different fusion schemes to …

The planetary gearbox is a key transmission apparatus used to change speed and torque.
The planetary gear is one of the most failure-prone components in a planetary gearbox. Due …

Rolling bearings play a crucial role as components in mechanical equipment.
Malfunctioning rolling bearings can disrupt the normal operation of the equipment and pose …

Deconvolution methods have been widely used in machinery fault diagnosis. However, their
application would be confined due to the heavy noise and complex interference since the …

The data measured by the servo motor-bearing system under complex working conditions
will present problems such as amplitude fluctuations, unequal impact intervals, and …

Tool wear condition monitoring during the machining process is one of the most important
considerations in precision manufacturing. Cutting force is one of the signals that has been …

Abstract As a new Single Layer Feedforward Network (SLFN) architecture, Broad Learning
System (BLS) has been widely used in the field of fault diagnosis because of its fast-training …

The multiscale fluctuation dispersion entropy algorithm (MFDE) is widely used to extract the
characteristics from a variety of complex nonlinear signals, including bearing signals, due to …

As a powerful tool, dispersion entropy (DE) has good capability to measure the irregularity
and complexity of nonlinear systems, so it is extensively utilized in the field of structural …

Wavelet methods are widely used in mechanical transient vibration signature detection and
fault diagnosis. Undesirable artifacts (eg, spurious noise spikes and pseudo-Gibbs …