Several applications, analysis and visualization of signal demand representation of time-
domain signal in different domains like frequency-domain representation based on Fourier …

Rolling element bearings are broadly applied in various industrial machines, such as
railway axles, gearboxes, electric motors, and turbines. Bearing fault diagnosis is important …

Automated emotion recognition using brain electroencephalogram (EEG) signals is
predominantly used for the accurate assessment of human actions as compared to facial …

Variational mode decomposition is a completely non-recursive decomposition model, where
all the modes are extracted concurrently. However, the model requires a preset mode …

Variational mode decomposition provides a feasible method for non-stationary signal
analysis, but the method is still not adaptive, which greatly limits the wide application of the …

Glaucoma is an eye disease in which fluid within the eye rises and puts pressure on optic
nerves. This fluid pressure slowly damages the optic nerves, and if it is left untreated, it may …

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 …

Empirical wavelet transform is good at distinguishing components containing different
frequency information in complex signals. Due to the higher complexity of the Fourier …

Blade bearings, also termed pitch bearings, are joint components of wind turbines, which
can slowly pitch blades at desired angles to optimize electrical energy output. The failure of …

Many studies on time series forecasting have employed fuzzy cognitive maps (FCMs).
However, it is required to develop techniques capable of effective responses and great …