Aero-engine full-life-cycle maintenance probability modeling and cost prediction method
A whole life cycle, aero-engine technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of large estimation range, no multi-strategy maintenance cost comparison, inability to make accurate decisions, etc., to reduce operational costs. The effect of dimension cost
Pending Publication Date: 2021-03-26
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology
[0003] At present, the determination of the hourly repair rate is mainly based on engineering experience, and the estimation range is too large to make accurate decisions; the calculation of maintenance strategy costs is mostly based on simple calculations based on engineering experience judgments, and there is no comparison of multi-strategy maintenance costs
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[0029] The technical solutions of the present invention will be better understood by those skilled in the art, and the present invention will be further described in detail below in connection with specific embodiments.
[0030] The embodiment of the present invention provides an aerospace engine full lifecycle repair probability modeling and cost prediction method, using Monte Carlo simulation method, model is distributed in various potential repairs (PSVC, Potential Shop Visitcause), The maintenance strategy and maintenance tasks and costs of various fault causes are input as input, and the cost of repair rate (SVR, SHOP VIT RATE), the repair cost, and the cost of repair, and each flight hour. figure 1 Indicated.
[0031] The air engine full lifecycle repair probability model includes three layers, the first layer is the first time for the first time, the second layer is sent to the first time for the second time to repair simulation, the first layer And the second layer simula...
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The invention discloses an aero-engine full-life-cycle maintenance probability modeling and cost prediction method, relates to the field of aero-engine maintenance probability modeling and cost prediction, and can more accurately reflect the engine full-life-cycle maintenance cost and the unit flight hour maintenance cost. Based on the life distribution of various potential fault reasons of the engine and the maintenance strategy and maintenance cost of various fault reasons, the Monte Carlo simulation method is adopted to predict the hour package maintenance cost of the whole life cycle of the engine. The maintenance cost of the whole life cycle of the engine and the maintenance cost per unit flight hour are accurately reflected, decision support is provided for manufacturers, package maintainers and operators, and the method has important significance in reducing the operation and maintenance cost of the engine.
Description
Technical field [0001] The present invention relates to the maintenance probability modeling and cost prediction of an air engine, and more particularly to an air engine full life cycle maintenance probability modeling and cost prediction method. Background technique [0002] Today, the major engine host vendors (OEM, Original Equipment Manufacture) take an hourly repair mode for the after-sales service of the aviation engine, that is, the airline will pack the maintenance service of the launch to the manufacturer (OEM) at a certain rate. Tri-party maintenance organization (MRO, MAINTENANCE AND REPAIR ORGANIZATION). Different operators, different operating environments, so the hair repair rate of the engine is different, such as the flyback rate of the flendage running in the Middle East is higher than the fleet running in Europe. Therefore, how to give different operationally agreed an appropriate hours of repair rate, it is a tricky problem, the appropriate hourly repair rate c...
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Login to View More IPC IPC(8): G06F30/20G06F119/02
CPCG06F30/20G06F2119/02
Inventor 孙见忠宁顺刚刘赫雷世英刘春杰
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS