It is well known that time-frequency analysis (TFA) characterises signals in time-frequency
plane. Theoretically, traditional non-parameterised TFA can analyze any signal, but it is …

The fractional Fourier transform involving a rotation angle as an additional variable is
capable to transform a signal to any fractional Fourier domain in between time and …

As the core component of rotating machinery, the complex loads and sustained rotations in
the harsh conditions are prone to multiple faults. It is the primary researching that extracting …

This paper proposes a new performance evaluation process for time-frequency distributions
(TFD) by designing a reference optimal TFD and novel accuracy and resolution measures …

Bearing pitting, one of the common faults in mechanical systems, is a research hotspot in
both academia and industry. Traditional fault diagnosis methods for bearings are based on …

The time-varying modal identification is a prominent analytical means but challenging task to
grasp the dynamic characteristics of time-varying systems, which is important guarantee for …

High-rate dynamic systems are defined as engineering systems experiencing dynamic
events of typical amplitudes higher than 100 gn for a duration of less than 100 ms. The …

Hidden Markov model (HMM) has been widely applied in bearing performance degradation
assessment. As a machine learning-based model, its accuracy, subsequently, is dependent …

Guided wave-based technique is one major approach for damage inspection of structures.
To detect a small damage, an elastic wave׳ s wavelength needs to be in the order of the …

快速准确地得到配电网故障位置, 对配电网系统安全稳定运行, 快速恢复供电具有重要意义.
提出一种基于经验模态分解(empirical mode decomposition, EMD) 和维格纳威尔分布(Wigner …