Shannon entropy in time domain can measure signal or system uncertainty. Spectrum
entropy based on Shannon entropy can be taken as a measure of signal or system …

AbsIracf-Forecasting the fault and danger in power system and limiting their incidence have
been the emphasis in modern power system study. The abundant real-time data gathering in …

Multiwavelets possess better properties than traditional wavelets. Multiwavelet packet
transformation has more high-frequency information. Spectral entropy can be applied as an …

Most of the signals in power system are typically non-stationary signal with time-varied
characteristic. By researching on Approximate Entropy (ApEn), a new technology is …

In a power system, the analysis of transient signals is the theoretical basis of fault diagnosis
and transient protection theory. Shannon wavelet entropy (SWE) and Shannon wavelet …

In this paper, a diagnosis plan is proposed to settle the detection and isolation problem of
open switch faults in high-speed railway traction system traction inverters. Five entropy forms …

The ability to detect and classify the type of fault plays a great role in the protection of power
system. This procedure is required to be precise with no time consumption. In this paper …

As a novel data mining approach, a wavelet entropy algorithm is used to perform entropy
statistics on wavelet coefficients (or reconstructed signals) at various wavelet scales on the …

Abstract Approximate Entropy (ApEn) provides a new dimensionless factor to denote the
irregularity of time series from the view of complexity measuring. Only short time-series are …

The electroencephalogram (EEG) is the brain signal containing valuable information about
the normal or epileptic state of the brain. In this paper a discrete wavelet-spectral entropy …