To implement Prognostics Health Management (PHM) for hydraulic pumps, it is very
important to study the faults of hydraulic pumps to ensure the stability and reliability of the …

This paper presents an up-to-date review of data-driven condition monitoring of industrial
equipment with the focus on three commonly used equipment: motors, pumps, and bearings …

As the modern industry rapidly advances toward digitalization, networking, and intelligence,
intelligent fault diagnosis technology has become a necessary measure to ensure the safe …

Reducing energy consumption and increasing operational efficiency are currently among
the leading research topics in the design of hydraulic systems. In recent years, hydraulic …

To address the problem that multivariable faults in hydraulic systems are difficult to diagnose
accurately in a short time, a new signal processing method combining an improved …

To address the difficulty of early fault diagnosis of rolling bearings, this paper proposes a
rolling bearing diagnosis method by combining the attention entropy and adaptive deep …

This paper presents the use of one-way analysis of variance ANOVA as an effective tool for
ranking the features calculated from diagnostic signals and evaluates their impact on the …

Hydraulic component faults have the characteristics of nonlinear time-varying signal, strong
concealment, and difficult feature extraction, etc. Timely and accurately fault diagnosis of …

The article introduces datasets representing piston pump failures along with the
experimental evaluation of various machine learning classification models. It starts with a …

With the wide application of hydraulic systems in the industrial and mechanical fields, the
analysis and study of hydraulic valve failures have become increasingly important. This …