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Review

Intelligent Fault Diagnosis Methods for Hydraulic Piston Pumps: A Review

1
National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China
2
International Shipping Research Institute, GongQing Institute of Science and Technology, Jiujiang 332020, China
3
Wenling Fluid Machinery Technology Institute, Jiangsu University, Wenling 317525, China
4
Saurer (Changzhou) Textile Machinery Co., Ltd., Changzhou 213200, China
5
Department of Mechanical Engineering, National University of Singapore, Singapore 117575, Singapore
6
Leo Group Co., Ltd., Wenling 317500, China
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2023, 11(8), 1609; https://doi.org/10.3390/jmse11081609
Submission received: 18 July 2023 / Revised: 3 August 2023 / Accepted: 9 August 2023 / Published: 17 August 2023
(This article belongs to the Special Issue CFD Simulation of Floating Offshore Structures)

Abstract

As the modern industry rapidly advances toward digitalization, networking, and intelligence, intelligent fault diagnosis technology has become a necessary measure to ensure the safe and stable operation of mechanical equipment and effectively avoid major disaster accidents and huge economic losses caused by mechanical equipment failure. As the “power heart” of hydraulic transmission systems, hydraulic piston pumps (HPPs) occupy an important position in aerospace, navigation, national defense, industry, and many other high-tech fields due to their high-rated pressure, compact structure, high efficiency, convenient flow regulation, and other advantages. Faults in HPPs can create serious hazards. In this paper, the research on fault recognition technology for HPPs is reviewed. Firstly, the existing fault diagnosis methods are described, and the typical fault types and mechanisms of HPPs are introduced. Then, the current research achievements regarding fault diagnosis in HPPs are summarized based on three aspects: the traditional intelligent fault diagnosis method, the modern intelligent fault diagnosis method, and the combined intelligent fault diagnosis method. Finally, the future development trend of fault identification methods for HPPs is discussed and summarized. This work provides a reference for developing intelligent, efficient, and accurate fault recognition methods for HPPs. Moreover, this review will help to increase the safety, stability, and reliability of HPPs and promote the implementation of hydraulic transmission technology in the era of intelligent operation and maintenance.
Keywords: hydraulic piston pump; fault diagnosis; intelligent operation and maintenance; research status; development trend hydraulic piston pump; fault diagnosis; intelligent operation and maintenance; research status; development trend

Share and Cite

MDPI and ACS Style

Zhu, Y.; Wu, Q.; Tang, S.; Khoo, B.C.; Chang, Z. Intelligent Fault Diagnosis Methods for Hydraulic Piston Pumps: A Review. J. Mar. Sci. Eng. 2023, 11, 1609. https://doi.org/10.3390/jmse11081609

AMA Style

Zhu Y, Wu Q, Tang S, Khoo BC, Chang Z. Intelligent Fault Diagnosis Methods for Hydraulic Piston Pumps: A Review. Journal of Marine Science and Engineering. 2023; 11(8):1609. https://doi.org/10.3390/jmse11081609

Chicago/Turabian Style

Zhu, Yong, Qingyi Wu, Shengnan Tang, Boo Cheong Khoo, and Zhengxi Chang. 2023. "Intelligent Fault Diagnosis Methods for Hydraulic Piston Pumps: A Review" Journal of Marine Science and Engineering 11, no. 8: 1609. https://doi.org/10.3390/jmse11081609

APA Style

Zhu, Y., Wu, Q., Tang, S., Khoo, B. C., & Chang, Z. (2023). Intelligent Fault Diagnosis Methods for Hydraulic Piston Pumps: A Review. Journal of Marine Science and Engineering, 11(8), 1609. https://doi.org/10.3390/jmse11081609

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