Rotating machinery covers a broad range of mechanical equipment and plays a significant
role in industrial applications. It generally operates under tough working environment and is …

Signal processing methods are essential in scientific research, and time-frequency analysis
techniques such as Fourier Transform constitute an important progress in data analysis, but …

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 …

A demodulation technique based on improvement empirical mode decomposition (EMD) is
investigated in this paper. Firstly, the problem of the envelope line in EMD is introduced and …

This paper presents a study on rotating machine vibration signals by using computed order
tracking, Vold–Kalman filtering and intrinsic mode functions from the empirical mode …

Empirical mode decomposition (EMD) has been widely used in the fault detection of rotating
machineries. However, the deviation of the local extrema can decline the decomposition …

Purpose The purpose of this study is to investigate rotor imbalance fault diagnosis for multi-
class imbalanced noisy data in rotor-bearing systems. The goal is to develop a systematic …

Full-waveform decomposition is crucial for obtaining accurate satellite-ground distance, the
accuracy of which is severely affected by noises. However, the traditional filters all depend …

Envelopes, which represent the overall information of the signal amplitude variation, are the
necessary mediums in many signal decomposition methods. The phenomena of undershoot …

To implement traditional order tracking in practice requires rotational speed information.
However, it may be difficult in some cases to mount an appropriate monitoring device to …