A Review of Research on Wear and Intelligent Health Management of the Axial Piston Pump

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Authors: Bin Zhang, Qiguo Tian, Haocen Hong, Chunxiao Zhao, He Zhang, Huayong Yang
Cited by: 0
References: 105

Abstract

Due to the high-frequency motion contact of internal components, the friction pair of the axial piston pump is prone to wear and degradation, which directly affects the failure rate and remaining useful life of the pump, endangering the safety and reliability of the entire hydraulic system. This paper summarizes the research progress on friction pair wear and intelligent health management of the axial piston pump in recent years, focusing on the following four aspects: First, the wear degradation mechanism of friction pairs of the axial piston pump is systematically analyzed, and the influence mechanism of lubrication state, material properties, pressure and other factors on the wear process is described. Secondly, the characterization methods of wear state are summarized, especially those based on volumetric efficiency, vibration signal and outlet pressure. Thirdly, the main technical paths of fault diagnosis of the axial piston pump are reviewed in detail, including model based, data based, data and model fusion methods, and the existing research results and difficulties are summarized. Finally, the advanced technology of thr axial piston pump remaining useful life prediction is discussed, with emphasis on the research status of model-based, data-based, data and model fusion technology, and the applicability and limitations of various models are reviewed. Through the comprehensive review of the above research progress, this paper aims to provide decision support for the research of fault diagnosis and remaining useful life prediction of the axial piston pump, promote the predictive maintenance and intelligent health management of the axial piston pump.

Fields of Study & Subjects

Hydraulic and Pneumatic Systems Industrial Technology and Control Systems Control Systems in Engineering

Publication details

Journal / source
Chinese Journal of Mechanical Engineering
Publisher
Elsevier BV
Pages
100322–100322
Publication date
1 May 2026
Language
EN