Bolted connections are prone to losing their preloads with the increasing service life, thus
inducing engineering accidents and economic losses in industries. Therefore, it is important …

Variational Mode Decomposition (VMD) can decompose signals into multiple intrinsic mode
functions (IMFs). In recent years, VMD has been widely used in fault diagnosis. However, it …

In order to effectively extract the frequency characteristics of an underwater acoustic signal
under sensor measurement, a fusion frequency feature extraction method for an underwater …

Based on permutation entropy (PE), which has been presented as a measure to
characterize the complexity of nonlinear time series, phase permutation entropy (PPE) is …

As one of the most important railway signaling equipment, railway point machines undertake
the major task of ensuring train operation safety. Thus fault diagnosis for railway point …

The fault diagnosis classification method based on wavelet decomposition and weighted
permutation entropy (WPE) by the extreme learning machine (ELM) is proposed to address …

It is crucial for flood discharge structure vibration safety evaluations to filter low-frequency
noise, separate dense-frequency components and obtain high-frequency component …

A viscoelastic sandwich structure is widely used in mechanical equipment, but therein
viscoelastic layers inevitably suffer from aging which changes the dynamic characteristics of …

Railway point machines (RPMs) are important to make the trains operate efficiently and
safely. Thus it is vital to research fault diagnosis. Nowadays contactless fault diagnosis …

Viscoelastic sandwich structure is playing an important role in mechanical equipment. The
aging condition identification of viscoelastic sandwich structure is essential for monitoring …