The motor drive system plays a significant role in the safety of electric vehicles as a bridge
for power transmission. Meanwhile, to enhance the efficiency and stability of the drive …

The increasing integration and complexity of rotating machinery have led to the difficulty of
its fault diagnosis. Condition-based maintenance (CBM) strategy is becoming more and …

The objective of this paper is to provide a review of recent advances in automatic vibration-
and audio-based fault diagnosis in machinery using condition monitoring strategies. It …

Rolling element bearings are critical components in industrial rotating machines. Faults and
failures of bearings can cause degradation of machine performance or even a catastrophe …

In rotary complex machines, collapse of a component may inexplicably occur usually
accompanied by a noise or a disturbance emanating from other sources. Rolling bearings …

Mechanical anomaly is a major failure type of induction motor. It is of great value to detect
the resulting fault feature automatically. In this paper, an ensemble super-wavelet transform …

Analyzing the vibration signals of wind turbine usually requires feature extraction. However,
in many cases, to extract feature components becomes challenging and the applicability of …

In order to extract fault features of large-scale power equipment from strong background
noise, a hybrid fault diagnosis method based on the second generation wavelet de-noising …

As an adaptive time-frequency-energy representation analysis method, empirical mode
decomposition (EMD) has the attractive feature of robustness in the presence of nonlinear …

Gear vibration signals always display non-stationary behavior. HHT (Hilbert–Huang
transform) is a method for adaptive analysis of non-linear and non-stationary signals, but it …