Fault diagnosis tree generation method based on information entropy and dynamic programming
A dynamic programming and fault diagnosis technology, applied in electronic circuit testing, complex mathematical operations, measuring devices, etc., can solve the problem of high algorithm time complexity
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[0059] figure 1 It is a flowchart of a method for generating a fault diagnosis tree based on information entropy and dynamic programming of the present invention.
[0060] In this embodiment, such as figure 1 As shown, a method for generating a fault diagnosis tree based on information entropy and dynamic programming of the present invention includes the following steps:
[0061] S1, build fault test model H;
[0062] H={S,T,D,P,C}
[0063] Among them, S represents the set of various faults in the system under test, S={s 1 ,s 2 ,...,S M }, M is the total number of faults; T represents the set of all available measuring points of the system under test, T={t 1 ,t 2 ,...,T N }, N is the total number of available measuring points; P represents the prior probability set of a certain failure of the system under test, P={p 1 ,p 2 ,...,P M }, p i Indicates a failure s i The prior probability of i=1,2,...,M; C represents the test cost set corresponding to T, C={c 1 ,c 2 ,...,C N }; D is the f...
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