A method for in-transit identification and diagnosis of intelligent train air-conditioning units
A technology for air conditioning units and trains, applied in machine learning, vehicle parts, railway car body parts, etc., can solve the problem of high sensor false detection rate, reduce interference, improve fault prediction accuracy, and avoid misjudgment.
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[0048] The following is a detailed description of the embodiments of the present invention. This embodiment is carried out based on the technical solution of the present invention, and provides detailed implementation methods and specific operation processes to further explain the technical solution of the present invention.
[0049] This embodiment provides a method for identifying and diagnosing intelligent train air-conditioning units in transit. First, the training samples are obtained by preprocessing the historical data, and then the train air-conditioning unit failure prediction model is obtained through training, which is then used to predict the failure of the train air-conditioning unit. Such as Figure 4 As shown, it specifically includes the following steps:
[0050] Step 1, obtain the internal operating parameters of the train air-conditioning units under various preset environmental parameters and operate under normal working conditions; use the internal operatin...
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