Multi-label diagnostic method for train air conditioning faults

A diagnostic method and multi-label technology, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve problems such as those that do not meet actual needs, and achieve comprehensive diagnostic results and improved accuracy.

Active Publication Date: 2015-11-11
XIAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, this method can only perform single-label diagnosis, which does not meet actual needs

Method used

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  • Multi-label diagnostic method for train air conditioning faults
  • Multi-label diagnostic method for train air conditioning faults
  • Multi-label diagnostic method for train air conditioning faults

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0101] Sample data collection and manual labeling: Taking the KLD29 series of unitary passenger car air-conditioning units commonly used in my country as an example, according to the scheme in the train air-conditioning and refrigeration system model in the technical scheme, the normal operating conditions are simulated, refrigerant leakage, evaporator fouling, condensation There are six kinds of non-condensable gas and compressor shutdown, and the data are collected respectively, and the data in Table 3 are collected as the input of the algorithm, see Table 3 for details;

[0102] Table 3 Training samples

[0103]

[0104]

[0105]

[0106] Manually mark the fault type label y={1, 2, 3, 4, 5, 6} respectively represent the fault types: normal operating conditions, refrigerant leakage, evaporator fouling, condenser fouling, non-condensable gas, compressor shutdown;

[0107] Selection of kernel function and optimal parameters:

[0108] Before using PSVM for data classi...

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Abstract

The invention discloses a multi-label diagnostic method for train air conditioning faults. First a multi-label classification mechanism is established using proximity support vector machines as a basic classification algorithm, then actual normal operation data of a train air conditioning unit and various fault operation data are collected as training samples, a plurality of single-label sub-classifiers are obtained through learning and training, finally the actual operation data of the train air conditioning unit are used as inputs of the single-label sub-classifiers, a plurality of sub-classification result vectors are obtained, and the result is the solution of the multi-label classification problem. By adoption of the multi-label diagnostic method for train air conditioning faults, precision of fault diagnosis is improved, and a diagnosis result is relatively comprehensive.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis methods for train air-conditioning units, and relates to a multi-label diagnosis method for train air-conditioning faults. Background technique [0002] With the rapid development of passenger trains in modern society, train air conditioning units have been widely used in passenger trains. The airtightness of modern passenger trains is relatively good, which will directly lead to poor air circulation in the compartments. Especially during the peak period of Spring Festival travel, the density of people in the trains is higher, which requires long-term and trouble-free operation of train air conditioners. However, the train air-conditioning unit operates under special conditions for a long time, such as: strong vibration when the train is running at high speed, and the air condition outside the train changes greatly. The train air-conditioning unit is more prone to failure, resulting in a d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F18/2411
Inventor 赵金伟柳宇黑新宏谢国马维纲严睿平李秀秀
Owner XIAN UNIV OF TECH
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