GA-BP maglev train fault detection method based on threshold determination
A GA-BP, maglev train technology, applied in railway vehicle testing, measuring electricity, measuring devices and other directions, can solve the problems of complex model, many related influencing factors, inapplicability and so on
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[0083] The present invention is further analyzed below in conjunction with specific accompanying drawings.
[0084] Such as figure 1 As shown, the GA-BP fault detection method for maglev trains based on threshold judgment, the steps are as follows:
[0085] Step 1. Obtain the required data by installing multiple sets of acceleration, current, and gap sensors on the train, and filter and preprocess the original data. Screen 40,000+ data, select 18,000+ data, and use the five-point average method to process the data for missing detection data and over-detection data for the selected data. Then slice (t time period) for the processed data.
[0086] Step 2, using signal processing technology and statistical learning method to extract the characteristic parameters within the time period t for each type of data processed in step 1. The characteristic parameters include time-domain indicators, frequency-domain indicators and time-frequency features.
[0087] 2.1 Time Domain Index...
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