TS-Neural-Network-Based Maintenance Decision Model for Diesel Engine

Authors:
Ying-Kui Gu;Zhen-Yu Yang
Affiliations:
School of Mechanical and Electronical Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China;School of Mechanical and Electronical Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Year:
2007

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Neural-Network-Based Maintenance Decision Model for Diesel Engine

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Abstract

To decrease the influence of fuzzy and uncertain factors on the maintenance decision process of diesel engine, a fuzzy-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 fuzzy logic and neural network is integrated based on the state detection technology of diesel engine. The maintenance decision process of diesel engine is analyzed in detail firstly. Then, the fuzzy neural network model of maintenance decision is established, including an entire network and two module sub-networks, where the improved T-S model is used to simply the structure of neural networks. Finally, an example is 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.