Rapid decision-making method and system for aviation failure
A decision-making method and fast technology, applied in the direction of instruments, database models, design optimization/simulation, etc., can solve problems such as low efficiency and affecting diagnosis results, and achieve the effect of rapid diagnosis
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Embodiment 1
[0049] A rapid decision-making method for aviation failure in this embodiment, such as figure 1As shown, the present invention discloses a rapid decision-making method for aviation failure. The method can be based on the decision-making information (failure mechanism, failure mode, failure cause, preventive measures, etc.) and basic information (non-decision-making information such as aircraft type, service time, material grade, flight take-off and landing, material status, etc.) recorded in historical case information. Make analytical decisions. Including: failure co-word analysis, independent acquisition of case representation keywords; based on case representation keywords, realize association rule mining between decision information and basic information, and form failure rule bodies; for the obtained failure rule bodies, combine failure co-word analysis results , to complete the construction of the rule decision-making model, and form a diagnostic model for rapid decisio...
Embodiment 2
[0053] This embodiment is further optimized on the basis of Embodiment 1. In this embodiment, the failure mode library mainly includes the management of failure modes; the graph library mainly includes the management of failure case graphs; the rule term library mainly includes Terminology management for relevant information in failure cases.
[0054] The other parts of this embodiment are the same as those of Embodiment 1, and thus are not repeated here.
Embodiment 3
[0056] This embodiment is further optimized on the basis of the above-mentioned Embodiment 1 or 2. In this embodiment, the calculation of the co-word matrix is mainly to unify the terminology and failure mode of the information in the case base for the data in the termbase, and then unify the information in the case base. Statistically summarize the content of keywords with a co-word frequency of not less than 1, and use the Cosine coefficient for standardization.
[0057] The other parts of this embodiment are the same as the above-mentioned Embodiment 1 or 2, and thus are not repeated here.
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