High-speed train temperature anomaly detection method based on space-time fusion decision

A high-speed train, abnormal detection technology, applied in special data processing applications, biological neural network models, geometric CAD and other directions, can solve the problem of difficult to realize the early warning of abnormal temperature rise in the vehicle intelligent operation and maintenance system, the occurrence of vehicle operation accidents, and the abnormal temperature of components. Detection and other problems to achieve the effect of reducing the dimension of the feature space, reducing the cost of analysis, and improving the accuracy

Active Publication Date: 2021-04-02
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

[0003] The current vehicle-mounted intelligent operation and maintenance system for high-speed trains is mainly a monitoring of temperature, and the state identification of vehicle components is realized by formulating corresponding logic rules and temperature thresholds. This method can avoid major safety accidents, but once such an alarm occurs, it means Significant damage to components, accidents in vehicle operation, and

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  • High-speed train temperature anomaly detection method based on space-time fusion decision
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  • High-speed train temperature anomaly detection method based on space-time fusion decision

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[0058] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are some, but not all, embodiments of the present invention.

[0059] Therefore, the following detailed description of the embodiments of the present invention is not intended to limit the scope of the claimed invention, but merely represents some embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0060] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features and technical solutions in the embodiments can be...

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Abstract

The invention discloses a high-speed train temperature anomaly detection method based on space-time fusion decision. The time-dimension axle temperature anomaly detection model and the space-dimensionaxle temperature anomaly detection model are fused, and the temperature anomaly condition of the high-speed train part is detected based on space-time fusion in combination with the DS evidence theory. According to the method, the temperature anomaly detection models of two dimensions of time and space are combined by utilizing the DS evidence theory, so that the false alarm rate can be reduced,a relatively large early warning amount can be ensured, and advantages and disadvantages of time and space dimension models are improved.

Description

technical field [0001] The invention relates to a method for detecting abnormal temperature of a high-speed train, which belongs to the field of abnormal temperature prediction during operation of a high-speed train, and is a method for detecting abnormal temperature during operation of a high-speed train based on deep learning. Background technique [0002] The high-speed train temperature prediction method is to transmit the original signals collected by several sensors to the computer during the running of the high-speed train, and perform a series of signal processing on the original signals to establish a mapping relationship with real-time temperature prediction, and finally through intelligent The temperature prediction algorithm is used to predict the temperature of vehicle components for a period of time after the current time, and use it as the basis for abnormal state discrimination. [0003] The current vehicle-mounted intelligent operation and maintenance system...

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Application Information

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IPC IPC(8): G06F30/15G06F30/20G06N3/04G06F119/08
CPCG06F30/15G06F30/20G06F2119/08G06N3/044G06N3/045
Inventor 邹益胜史珂铭吴宇丁国富
Owner SOUTHWEST JIAOTONG UNIV
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