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.

Active Publication Date: 2021-08-24
CENT SOUTH UNIV
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AI Technical Summary

Problems solved by technology

[0006] The invention provides an in-transit identification and diagnosis method for an intelligent train air-conditioning unit, which can solve the problem of high false detection rate caused by the sudden jump of the sensor

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  • A method for in-transit identification and diagnosis of intelligent train air-conditioning units
  • A method for in-transit identification and diagnosis of intelligent train air-conditioning units
  • A method for in-transit identification and diagnosis of intelligent train air-conditioning units

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Embodiment Construction

[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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Abstract

The invention discloses a method for in-transit identification and diagnosis of an intelligent train air-conditioning unit, wherein the method includes: obtaining internal operating parameters of the train air-conditioning unit under various preset environmental parameters and operating under normal working conditions, and constructing a normal parameter database ; Obtain the internal operating parameters of the train air-conditioning unit under a variety of preset environmental parameters and different fault conditions, and build an abnormal parameter database; normal parameters, and calculate the corresponding residuals as training samples; use all training samples and corresponding working condition types to train the fault prediction model; obtain the real-time residual time series in the same way, input them into the fault prediction model, and obtain multiple Working condition type prediction results, and comprehensive evaluation to obtain the final real-time working condition type. The invention can improve the accuracy of fault prediction.

Description

technical field [0001] The invention relates to the field of fault identification of train air-conditioning units, in particular to an in-transit identification and diagnosis method of an intelligent train air-conditioning unit. Background technique [0002] With the rapid development of passenger trains in modern society, the application of train air conditioning units in passenger trains is becoming more and more extensive. The airtightness of the current passenger trains is relatively good, which directly leads to poor air circulation in the compartments; during the peak period of Spring Festival travel, the density of people in the trains is higher, and the requirements for ventilation in the compartments are higher, which requires the train air conditioner to be able to operate for a long time without failure to work. Therefore, it is of great significance to construct a set of accurate fault diagnosis methods for train air-conditioning units. [0003] The air-conditi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60H1/00B61D27/00G06N20/00
CPCB60H1/00585B61D27/0018G06N20/00
Inventor 李燕飞杨宇翔施惠鹏刘辉
Owner CENT SOUTH UNIV
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