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所属单位：民航学院

发表刊物：Hangkong Dongli Xuebao

摘要：According to the acquisition of inspection and maintenance information of civil aero-engine hot-section subassembly system and typical degradation state judgment by experts, the models of sojourn time estimation of each typical macro degradation state based on expert estimation opinion, inspection information and their fusion data were set up under the assumptions of the system state degradation process obeying a discrete semi-Markov chain. The methods of maximum likelihood estimation and MCMC(Monte Carlo Markov Chain) were applied to estimate the model parameters, the sojourn time and the state transition coefficients in each macro degradation state based on these three kinds of data. Meanwhile, the state transition probability models were built in a certain service cycle for optimal inspection and maintenance cost, and then the optimal inspection intervals in three typical macro degradation states, i.e. 1750, 350, 70cycles were obtained by simulation. The results showed the optimal inspection intervals were relatively close to the reality situations in the civil aviation operation and production, providing the technical supports in the aspect of customer-oriented inspection and maintenance decision-making and improving economic benefits for civil aviation transport enterprises. © 2017, Editorial Department of Journal of Aerospace Power. All right reserved.

ISSN号：1000-8055

是否译文：否

发表时间：2017-12-01

合写作者：左洪福

通讯作者：陆晓华