As the share of global offshore wind energy in the electricity generation portfolio is rapidly
increasing, the grid integration of large-scale offshore wind farms is becoming of interest …

Renewable energy sources are present copiously in the nature and are good for
environmental conservation as they restore themselves and thus have considerable …

An intelligent defect identification scheme has been proposed to identify the taper roller
bearing defects through the extreme learning machine (ELM) model. The raw vibration …

In this paper, a new method has been presented for the time–frequency (TF) representation
of non-stationary signals. The existing empirical wavelet transform (EWT) has been …

Feature extraction is an essential process in the intelligent fault diagnosis of rotating
machinery. Although existing feature extraction methods can obtain representative features …

Background and motivation Time–frequency representation (TFR) of a signal finds its
application in numerous fields for non-stationary multicomponent signal analysis. Due to …

The intermittency and uncertainty of wind energy affect the accuracy of wind power
prediction, which is not conducive to the safe and stable operation of the power system …

The fetal Doppler Ultrasound (DUS) is commonly used for monitoring fetal heart rate and
can also be used for identifying the event timings of fetal cardiac valve motions. In early …

As the transition to electric mobility is accelerating, EV fleet charging loads are expected to
become increasingly significant for power systems. Hence, EV fleet load forecasting is vital …

Since multicomponent modulation and complicated interference simultaneously exist in the
vibration signals caused by the bearing compound fault, the fault feature becomes rather …