A method and system for evaluating spare parts reliability by fusing multi-source information
A multi-source information and reliability technology, applied to computer components, instruments, calculations, etc., can solve problems such as backlog of spare parts, increased number of guarantee failures, differences in reliability rules and design parameters, etc.
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Embodiment 1
[0060] Embodiment 1 provided by the present invention is an embodiment of a method for evaluating the reliability of spare parts fused with multi-source information provided by the present invention, such as figure 1 As shown, the embodiment of the present invention provides a method for evaluating the reliability of spare parts that fuses multi-source information, including:
[0061] Step 1. Determine the likelihood weight coefficient of the prior distribution of one information source of the spare part and the prior distribution of each other information source, where the likelihood weight coefficient is the ratio of the likelihood functions of the prior distribution of the two information sources.
[0062] The spare parts are non-repairable parts during the execution of the mission, and their lifespan obeys the exponential distribution, and the probability density function is:
[0063] f(t)=λexp(-λt)
[0064] Among them, t is time, λ is an unknown parameter representing th...
Embodiment 2
[0143] Embodiment 2 provided by the present invention is an embodiment of a spare parts reliability evaluation system that fuses multi-source information provided by the present invention, such as figure 2 As shown, in this embodiment, the system includes: a likelihood weight coefficient determination module 1, a priori distribution determination module 2 of the spare parts failure rate, and a spare parts reliability evaluation module 3;
[0144] Likelihood weight coefficient determination module 1, used to determine the likelihood weight coefficient of the prior distribution of one information source and the prior distribution of other information sources for the reliability of spare parts, the likelihood weight coefficient is the prior distribution of the two information sources The ratio of the likelihood function of ;
[0145] The prior distribution determination module 2 of the spare parts failure rate is used to obtain the prior distribution of the spare parts failure r...
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