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Simulation technology based on after repair and repair time product effectiveness

A technology of maintenance time and post-event maintenance, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as randomness, unacceptability, and explosion of simulation results

Inactive Publication Date: 2006-11-08
YANSHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The limitations of this method are: 1) Limited by the product life distribution type and maintenance time distribution type, the life distribution of mechanical products usually does not obey the exponential distribution, but more obeys the Weibull distribution
2) When analyzing the reliability of a system composed of products on the basis of products, if only two states of products are considered, the number of Markov state transition equations and the number n of products that make up the system become 2 n relationship, the amount of calculation "explodes" as the number of products increases, and the amount of calculation is so large that it is unacceptable
The biggest advantage of this method is that it has strong adaptability and is not limited by assumptions. The disadvantages are: 1) Although the calculation amount of the simulation is smaller than that of the Markov method, the calculation amount increases with the improvement of the calculation accuracy requirements and the increase of the number of products that make up the system. also cannot be ignored
In fact, the reliability index of the Monte-Carlo method simulation is only the reliability index of a certain sample of the matrix, which is an inference of the reliability index of the sample to the matrix. randomness

Method used

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  • Simulation technology based on after repair and repair time product effectiveness
  • Simulation technology based on after repair and repair time product effectiveness
  • Simulation technology based on after repair and repair time product effectiveness

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0102] Taking the tractor chassis as an example to simulate the effectiveness of the tractor chassis under different maintenance time distributions. According to the data, the reliability index of the tractor chassis is known: the average kilometers between failures is MTBF ≥ 450km. The tractor chassis is maintained after the event, and the influence of different maintenance time distributions on the effectiveness of the tractor chassis can be simulated by the simulation method of the present invention. The simulation results can guide the operation and maintenance of the tractor chassis and provide a theoretical basis for the decision-making of the support plan, which is of great significance to ensure the effectiveness or attendance of the tractor.

[0103] The life of the tractor chassis can be fitted by the Weibull distribution function to simulate the effectiveness of the worst case reliability of the tractor chassis, that is, MTBF=450km. The life distribution parameters...

Embodiment 2

[0107] Taking an automobile ignition system as an example to simulate the effectiveness of the automobile ignition system under different maintenance time distributions. According to the data, the reliability index of the automobile ignition system is known: the mean time between failures is MTBF≥200h [1] . The automobile ignition system adopts after-event maintenance, and the effect of different maintenance time distributions on the effectiveness of the automobile ignition system can be simulated by the simulation method of the present invention.

[0108] The life of the automobile ignition system can be fitted with a Weibull distribution function to simulate the effectiveness of the worst reliability of the automobile ignition system, that is, MTBF=200h. The life distribution parameters of the automobile ignition system are shown in Table 5. Different maintenance time distributions are used to observe the effect of maintenance time on the effectiveness of the vehicle ignit...

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PUM

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Abstract

This invention discloses an emulation technology based on post maintenance and the validity of products in maintenance including: a, structuring a maintenance vector or a sequence, b, structuring a fault frequency sequence, c, structuring a repairing sequence, d, computing the elements of the fault frequency sequence and reparing sequence, e, computing the validity of products and total fault frequency, which makes up some shortcomings of the Markov and Monte-Carlo method and is used in researching the influence of maintenance mode and time to product reliabilities.

Description

technical field [0001] The invention relates to a reliability simulation technology, in particular to a simulation technology based on post-event maintenance and product effectiveness during maintenance. technical background [0002] Products here refer to mechanical parts, components, mechanical subsystems or mechanical systems, such as production equipment, weaponry, aerospace devices, components in nuclear power equipment, or the equipment itself. [0003] Products usually have failures during use, and users adopt various maintenance methods according to the importance of the system, economical use, system security and other factors, such as after-the-fact maintenance, preventive maintenance, and condition monitoring maintenance to ensure the effectiveness of the system. sex. [0004] Effectiveness refers to the ability of a product to be in a state that can perform specified functions under specified conditions and within a specified time or time interval under the prem...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 吴月明
Owner YANSHAN UNIV
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