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Task-and-efficiency matching-based electromechanical system interactive multi-model maintenance prediction method

An interactive multi-model, electromechanical system technology, applied in the field of interactive multi-model maintenance prediction of electromechanical systems based on task and performance matching, to achieve the effect of solving high maintenance costs

Inactive Publication Date: 2018-05-22
CSSC SYST ENG RES INST
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Problems solved by technology

[0003] At the same time, from a practical point of view, incomplete repair of stochastically degraded systems can usually only be restricted to a finite number of

Method used

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  • Task-and-efficiency matching-based electromechanical system interactive multi-model maintenance prediction method
  • Task-and-efficiency matching-based electromechanical system interactive multi-model maintenance prediction method
  • Task-and-efficiency matching-based electromechanical system interactive multi-model maintenance prediction method

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example

[0100] The life of the component obeys the exponential distribution, that is, the life distribution function and The standard parameter settings are as follows: , the rate parameter λ of the exponential distribution 1 = 0.1, λ 2 = 0.3, the "first-after" state transition matrix between teams

[0101] Various maintenance cost parameters c M =500,c d =120,c s =50,c l =10,c An_L =12, c Af_L =15,c An_H = 24,c Af_H =30,c Bn_L =22,c Bf_L =25,c Bn_H = 34,c Bf_H = 40, c Ar_L =200,c Ar_H =500,c Br_L = 240,c Br_H =540, the corresponding maintenance time parameter t Af_H =0.2,t An_H =0.05,t Bf_H =0.12,t Bn_H =0.03,t Ar_H =0.4,t Br_H = 0.3. P i A (k) and P i B (k) is a random distribution on [0,1] and remains constant in the same set of simulations.

[0102] By comparison, the optimal parameter m can be found * = 1 and N * =6, the optimal expected cost rate is 368.69. The optimization method described takes into account the downtime loss expectation E du...

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Abstract

The invention relates to a task-and-efficiency matching-based electromechanical system interactive multi-model maintenance prediction method. The method includes the following steps that: a (m, N)-dimension maintenance model is established for a heterogeneous multi-component system on the basis of life distribution; a decentralized maintenance mode is adopted for an electromechanical system; the full-cycle failure sequence statistics of the electromechanical system is calculated; the full-cycle expected cost rate function of the electromechanical system is calculated through using the full-cycle failure sequence statistics; and optimization and solution are performed: integer optimization is performed on control single variables according to the full-cycle expected cost rate function, andoptimal parameters in the maintenance model are solved through adopting an enumeration method, so that an optimal expected cost rate is obtained. According to the optimization method, the influence ofshutdown loss caused by a maintenance period on total costs and the influence of the maintenance period on total time are considered, and therefore, the parameters of the maintenance model are more reasonable, and the optimal expected cost rate is more accurate.

Description

technical field [0001] The invention relates to the field of electromechanical technology, in particular to an interactive multi-model maintenance prediction method for electromechanical systems based on task and performance matching. Background technique [0002] In the past few decades, industrial equipment has undergone several innovations, and ship systems have changed from single-component systems in the past to complex multi-component composite systems. When making maintenance decisions, different maintenance priorities should be assigned to components of different status. Important components need to be kept in a zero-failure state at all times. For non-essential parts, you can wait for group or opportunity repairs. In addition, the different impacts of different maintenance teams should also be considered. Different maintenance methods and different maintenance experience of the team will produce differences in economy and effect. [0003] At the same time, from ...

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Application Information

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IPC IPC(8): G06Q10/00G06Q10/04
CPCG06Q10/04G06Q10/20
Inventor 张成伟张玉峰张羽刘鹏鹏
Owner CSSC SYST ENG RES INST
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