Building materials machinery equipment play an important role in the production of cement,
brick and tile, glass and other building materials, which are high energy consumption …

In the case of a compound fault diagnosis of rotating machinery, when two failures with
unequal severity occur in distinct parts of the system, the detection of a minor fault is a …

Parameter-adaptive variational mode decomposition (VMD) has attenuated the dominant
effect of prior parameters, especially the predefined mode number and balancing parameter …

The prognostic and health management (PHM) of rolling bearings has been a popular
research area. Since bearing fault is inevitable during degradation, how to improve the PHM …

In bearings defect diagnosis applications, information fusion has been widely used to
improve identification accuracy for different types of faults, which may lead to high …

In order to detect rail cracks by acoustic emission (AE) technology, a constrained
independent component analysis algorithm is proposed to extract investigated components …

This paper proposes an improved double-dictionary K-singular value decomposition (IDDK-
SVD) algorithm for the compound fault diagnosis of rolling element bearings under complex …

Identification of compound faults in rotating machinery bearings is crucial for ensuring
reliability and safety. Traditional methods face challenges in detecting weak multiperiodic …

The occurrence of compound faults in real-time conditions leads to the early failure of
components. However, identifying compound faults in a rotor system is more complex …

To efficiently and accurately separate sources from the measured signals and align their
permutation, a convolutive blind source separation (BSS) in frequency domain with kurtosis …