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Research on Maintainability Dynamic Modeling and Maintenance Strategy Optimize Methods for Panzer Equipment
Author: ZuoPengFei
Tutor: SunQuan
School: National University of Defense Science and Technology
Course: Control Science and Engineering
Keywords: Dynamic Modeling of Maintainability Small Sample Mean time to repair Genetic Algorithms Rollback factor Bayesian methods
CLC: E923
Type: Master's thesis
Year: 2009
Downloads: 51
Quote: 1
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Abstract
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Maintainability is an important design characteristics of armored equipment has a direct impact on the combat effectiveness of the equipment. Maintainability dynamic modeling and maintenance strategy optimization is an important content of the maintenance engineering research. Repair models and strategies directly determine whether armored equipment maintenance resources effectively; reasonable maintenance model optimization strategy can fully play the armored equipment maintenance resources directly improve the combat effectiveness of the troops. At present, the army's armored equipment maintenance system is established based on the eighties maintenance reform basis. It is based on a large sample data and long experience; vehicle for research data analysis did not consider the failure mechanisms of different types of components, analytical tools more general rough. On the other hand, after the maintainability verification, equipment index parameters fixed value technological improvements, even if in some respects, its parameters do not get timely updates, due to the required large sample modeling assessment. It is developed as a basis for the maintenance strategy, resulting in excessive maintenance of some parts of the equipment, some parts and lack of maintenance, which can seriously affect the performance of the play. Dynamic modeling and maintenance of armored equipment maintenance strategy optimization method It is in such demand. A certain type of armored equipment maintenance issues to the background, and conducted in-depth research on the armored equipment maintenance dynamic modeling and maintenance strategy optimization method. The paper first describes the principles and methods of armored equipment subsystems divided, common maintenance indicators to determine the method; then, of small sample data for the background, based on Bayesian theory and multi-source information fusion, dynamic modeling of maintainability the method used in the instance of the application of the method to achieve dynamic modeling analysis of the mean time to repair; abandon the past, armored equipment in the vehicle as the object of study and repairing the old unreasonable to assume that the new maintenance strategy optimization, the introduction of a return to the concept of the reduction factor, subsystems for unit availability objective optimization model for minimum cost constraints; using genetic algorithms and Monte Carlo simulation to draw the best preventive maintenance cycle. The main theoretical innovation: (1) improved maintainability dynamic modeling, based on the credibility weighted Fusion method: (2) rollback factor calculation, first proposed based preventive maintenance quality assessment back reduction factor.
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