LAPSE:2023.36516
Published Article
LAPSE:2023.36516
Research Progress and Development Trend of Prognostics and Health Management Key Technologies for Equipment Diesel Engine
Zichang Liu, Cuixuan Zhang, Enzhi Dong, Rongcai Wang, Siyu Li, Yueming Han
August 3, 2023
The diesel engine, as the main power source of equipment, faces practical problems in the maintenance process, such as difficulty in fault location and a lack of preventive maintenance techniques. Currently, breakdown maintenance and cyclical preventive maintenance are the main means of maintenance support after a diesel engine failure, but these methods require professional maintenance personnel to carry out manual fault diagnosis, which is time-consuming. Prognostics and health management (PHM), as a new technology in the field of equipment maintenance support, has significant advantages in improving equipment reliability and safety, enhancing equipment maintenance support capability, and reducing maintenance support costs. In view of this, when introducing PHM into diesel engine maintenance support, the research progress and development trend of the key technologies of PHM for diesel engines are carried out with the objective of achieving precise maintenance and scientific management of diesel engines, and the key technologies demand traction. Firstly, the development history of PHM technology is reviewed, and its basic concept and main functions are introduced. Secondly, the system architecture of PHM for diesel engines is constructed, and its key technologies are summarized. Then, the research progress in the field of PHM for diesel engines is reviewed from four aspects: data acquisition, data processing, fault diagnosis, and health status assessment. Finally, the challenges faced by diesel engine PHM in engineering applications are analyzed, effective solutions to address these challenges are explored, and the future development trend is foreseen.
Keywords
data acquisition, data processing, diesel engine, fault diagnosis, health status assessment, prognostics and health management, reliability
Suggested Citation
Liu Z, Zhang C, Dong E, Wang R, Li S, Han Y. Research Progress and Development Trend of Prognostics and Health Management Key Technologies for Equipment Diesel Engine. (2023). LAPSE:2023.36516
Author Affiliations
Liu Z: Shijiazhuang Campus, Army Engineering University of PLA, Shijiazhuang 050003, China
Zhang C: Shijiazhuang Posts and Telecommunications Technical College, Shijiazhuang 050020, China
Dong E: Shijiazhuang Campus, Army Engineering University of PLA, Shijiazhuang 050003, China
Wang R: Shijiazhuang Campus, Army Engineering University of PLA, Shijiazhuang 050003, China
Li S: Shijiazhuang Campus, Army Engineering University of PLA, Shijiazhuang 050003, China
Han Y: Shijiazhuang Campus, Army Engineering University of PLA, Shijiazhuang 050003, China [ORCID]
Journal Name
Processes
Volume
11
Issue
7
First Page
1972
Year
2023
Publication Date
2023-06-29
Published Version
ISSN
2227-9717
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PII: pr11071972, Publication Type: Review
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LAPSE:2023.36516
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doi:10.3390/pr11071972
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Aug 3, 2023
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Aug 3, 2023
 
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Calvin Tsay
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