A sampling-based residual life prediction method for cold standby system

A life prediction and system life technology, applied in prediction, complex mathematical operations, instruments, etc., can solve the problem of poor applicability of the remaining life sampling algorithm, and achieve the effect of high calculation efficiency and simple calculation process

Inactive Publication Date: 2019-01-04
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

[0014] The invention provides a method for predicting the remaining life of a cold standby system based on sampling, which is used to overcome the shortcomings of the existing technology such as poor applicability of the remaining life sampling algorithm when the probability density function

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  • A sampling-based residual life prediction method for cold standby system
  • A sampling-based residual life prediction method for cold standby system
  • A sampling-based residual life prediction method for cold standby system

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Embodiment Construction

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0024] The embodiment of the present invention proposes a sampling-based n Take k A method for predicting the remaining life of a cold standby system, comprising the following steps:

[0025] Step S1, the cold standby system includes n components, and the life of n components obeys the probability density function ,according to A set of sample sizes generated by the sampling algorithm is n Component life samples for ;According to the recursive...

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Abstract

The invention discloses a residual life prediction method of a cold standby system based on sampling, includes n components, wherein the lifetime of each component obeying the probability density function, according to the technical scheme, a set of sample size n component life performing sampling; calculating the lifetime of the k-out-of-n cold standby system according to the recursive function;obtaining a sample of k cold standby system lifetime; the difference being the residual life sample; if the sample size for generating the residual life of the cold standby system is N, steps 1 and 2being repeated N times, taking N samples of k cold standby system from n, the predicted value of the residual life after the time of the k-out-of-n cold standby system. The scheme solves the problem of predicting the residual life of the cold standby system when the probability density function of the component life is more complex. The calculation process is simple and the calculation efficiencyis very high, which can provide technical support for the operation of the cold standby system.

Description

technical field [0001] The invention relates to the technical field of reliability evaluation, in particular to a method for predicting the remaining life of a cold standby system based on sampling. Background technique [0002] Reliability is the embodiment of product quality characteristics, and it is a factor that must be considered in the process of product development and operation. Life and remaining life are important indicators of product reliability, where life represents the length of time from the start of operation to failure, while remaining life refers to the time from the current moment to failure after the product has been in normal operation for a period of time. The two indicators of life and remaining life have their own emphasis. The life indicator is generally used to measure the reliability level of the product before it is put into operation, while the remaining life indicator is used to inspect the reliability level of the product during the operation...

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06F17/18
CPCG06Q10/0639G06F17/18G06Q10/04
Inventor 贾祥程志君郭波
Owner NAT UNIV OF DEFENSE TECH
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