Turnout fault diagnosis method based on qualitative trend analysis
A fault diagnosis and trend analysis technology, applied in the direction of response errors, complex mathematical operations, instruments, etc., can solve problems such as inability to work for a long time, fuzzy threshold rules, loss of reference value in the operating working environment, etc. Avoid running, believable effects
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[0090] This embodiment focuses on fault diagnosis of a ZD6-A type turnout laid by a subway company line, and collects current operating signals of the turnout (30 groups in each of 5 states, 150 groups in total) to verify the fault diagnosis method.
[0091] 10 groups are randomly selected from 30 groups of current operation signals in each of the five states. A total of 50 groups are used to establish fault diagnosis rules for the five states. The remaining 100 groups of current operation signals are used for trend matching and final fault diagnosis.
[0092] The following takes the no-fault trend rule as an example to illustrate the process of establishing the rule. The process of establishing the fault trend rule from fault 1 to fault 4 is similar.
[0093] In order to more accurately extract hidden trends in the signal, eliminate subtle irrelevant trends, and better establish a fault rule knowledge base, it is necessary to perform Gaussian filtering on the signal curve first. fig...
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