Modularized complicated equipment Bayesian network failure prediction method
A Bayesian network and fault prediction technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as poor practicability, achieve strong practicability, improve maintenance efficiency, and reduce maintenance costs
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[0047] Reference Figure 1-7 . The specific steps of the Bayesian network fault prediction method for modular complex equipment of the present invention are as follows:
[0048] Step 1: Decompose the complex equipment system into multiple independent and interrelated sub-modules according to the physical boundaries between the components and the actual fault prediction objects. The specific methods are as follows:
[0049] In this embodiment, taking the "head up display (HUD)" as the failure mode, and according to the original design data of the HUD and its system structure, the HUD is first decomposed into functional modules of different levels according to functions, and the decomposed system Modules such as figure 2 Shown. Table 1 lists the corresponding failure modes and descriptions of each level of HUD modules.
[0050] Table 1 Failure modes of HUD modules
[0051] Mode number level Module number Module Failure mode coding 101 Head-up display The picture is not clearM011...
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