Neural-Network-Based Maintenance Decision Model for Diesel Engine

  • Authors:

  • Yingkui Gu;Juanjuan Liu;Shuyun Tang

  • Affiliations:

  • School of Mechanical and Electronical Engineering, Jiangxi University of Science and Technology, Ganzhou, China 341000;School of Mechanical and Electronical Engineering, Jiangxi University of Science and Technology, Ganzhou, China 341000;School of Mechanical and Electronical Engineering, Jiangxi University of Science and Technology, Ganzhou, China 341000

  • Venue:
  • ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
  • Year:
  • 2008

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Abstract

To decrease the fuzzy and uncertain factors in the maintenance decision models of diesel engine, a combination BP-neural-network-based maintenance decision model for diesel engine is presented in this paper. It can make the maintenance of diesel engine follow the prevention policy and take the technology and economy into account at the same time. In the presented model, the maintenance decision theory of diesel engine was analyzed in detail firstly. Then, the combination neural network model for maintenance decision was established, including an entire network and two modules sub-networks. Finally, an example was given to verify the effective feasibility of the proposed method. By training the network, the deterioration degree of the diesel engine and its parts can be obtained to make the right maintenance decision.