Hydraulic pump is a critical component of a hydraulic transmission system. Its normal and
stable operation will directly affect the reliability of the whole system. Owing to the complexity …

A hybrid deep learning approach was designed that combines deep learning with enhanced
short-time Fourier transform (STFT) spectrograms and continuous wavelet transform (CWT) …

This comprehensive review explores data-driven methodologies that facilitate the
prognostics and health management (PHM) of centrifugal pumps (CPs) while utilizing both …

This paper proposes a new framework for leak diagnosis in pipelines using leak-augmented
scalograms and deep learning. Acoustic emission (AE) scalogram images obtained from the …

This paper proposes an intelligent framework for the fault diagnosis of centrifugal pumps
(CPs) based on wavelet coherence analysis (WCA) and deep learning (DL). The fault …

This study proposes a fault diagnosis method (FD) for multistage centrifugal pumps (MCP)
using informative ratio principal component analysis (Ir-PCA). To overcome the interference …

As an important link in the steel production chain, the health of the rolling mill directly affects
the steel production. Therefore, the study of rolling mill fault diagnosis methods is of great …

A novel intelligent centrifugal pump (CP) fault diagnosis method is proposed in this paper.
The method is based on the contrast in vibration data obtained from a centrifugal pump (CP) …

In recent years, pumps have become critical components in agriculture, industry, and the
military, necessitating extensive development and implementation of the fault diagnosis …

The raw signals produced by internal gear pumps are susceptible to noises brought on by
mechanical vibrations and the surrounding environment, and the sample count collected …