Multi-Objective-Based Intelligent Lubrication System Performance Evaluation Technology for Construction Machinery
-
Published:2023-10-27
Issue:21
Volume:13
Page:11768
-
ISSN:2076-3417
-
Container-title:Applied Sciences
-
language:en
-
Short-container-title:Applied Sciences
Author:
Peng Han1, Chen Yike1, Shangguan Linjian1, Cheng Ruixue2ORCID, Li Yanchi1, Yang Can1
Affiliation:
1. School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China 2. School of Computer Engineering and Digital Technology, Teesside University, Middlesbrough TS1 3BA, UK
Abstract
The infrastructure construction process cannot be separated from construction machinery; it will inevitably produce wear and tear in the work. The level of wear and tear is severe and could cause mechanical accidents. There are safety hazards involved with wear and tear; thus, the study of the lubrication systems of construction machinery is crucial. This paper addresses the problems with the intelligent lubrication systems of construction machinery and establishes a performance evaluation index system for the intelligent lubrication systems of construction machinery by analyzing and selecting appropriate evaluation indexes. Based on the built evaluation system, a performance evaluation model was established based on the hierarchical analysis (analytic hierarchy process, AHP)–entropy weight method and a topological object element model. The feasibility of the model was tested using the example of an off-road mining dump truck. This model analyzes the performance strengths and weaknesses of smart lubrication systems and suggests improvement measures and recommendations for weak links. It also provides a reference for analyzing the performance of smart lubrication systems for other mechanical devices.
Funder
Henan University Science and Technology In-novation Team Support Program Training Plan for Young Backbone Teachers of North China University of Water Resources and Electric Henan Science & Technology Laboratory Henan Province Smart Lubrication and Equipment Health Management Engineering Technology Research Center
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference56 articles.
1. Fan, Z., Liu, Y., and Li, Y. (2023). Research on Collaborative Mechanisms of Railway EPC Project Design and Construction from the Perspective of Social Network Analysis. Systems, 11. 2. Lubrication of engineering machinery and equipment;Meng;Pet. Bus. Technol.,2018 3. Li, Z., Chen, Q., Chen, Y., Lin, T., Ren, H., and Gong, W. (2022). High-Performance Control Strategy for Low-Speed Torque of IPMSM in Electric Construction Machinery. Machines, 10. 4. An, H.Z., Liu, M., Zhen, P.H., and Chen, L. (2021, January 29–31). Experimental Research on Rubber Compatibility of Drive Train oils used in Construction Machinery. Proceedings of the 2021 4th International Conference on Mechanical, Chongqing, China. 5. A critical review on applications of artificial intelligence in manufacturing;Mypati;Artif. Intell. Rev.,2023
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|