Traction system main loop grounding fault diagnosis method and system based on characteristic correlation

A traction system and ground fault technology, which is applied in the field of ground fault diagnosis of the main circuit of the traction system, can solve the problems of high data stability requirements and insufficient diagnostic performance of transient working conditions.

Active Publication Date: 2020-03-13
CENT SOUTH UNIV
View PDF8 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This type of method has high requirements for data stability, and the diagnostic performance is insufficient when the transient working conditions change during train operation and the sensor measurement noise is large.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Traction system main loop grounding fault diagnosis method and system based on characteristic correlation
  • Traction system main loop grounding fault diagnosis method and system based on characteristic correlation
  • Traction system main loop grounding fault diagnosis method and system based on characteristic correlation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0090] see figure 1 , the present embodiment provides a method for diagnosing the ground fault of the main circuit of the traction system based on feature correlation, including the following steps:

[0091] S1: Select the historical operation data training set, and extract the characteristic variables associated with the ground fault of the main circuit of the traction system from the original data.

[0092] S2: Calculate the corresponding characteristic index according to the characteristic variable, form the characteristic index data set, and use the characteristic index data set to calculate the typical correlation analysis parameters and fault detection threshold.

[0093] S3: Select the historical fault data set to model the fault vector, and build a fixed residual direction library for various faults.

[0094] S4: Select the test data set, calculate the residual according to the test data set and typical correlation analysis parameters, compare it with the fault detect...

Embodiment 2

[0177] Corresponding to the above-mentioned method embodiments, this embodiment provides a system for diagnosing the ground fault of the main circuit of the traction system based on feature correlation, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, the steps of the above method are realized.

[0178] As mentioned above, the method and system for diagnosing the ground fault of the main circuit of the traction system based on the characteristic correlation provided by the present invention firstly extract the characteristic variables associated with the ground fault of the main circuit of the traction system from the original data of the historical operation data training set; Calculate the corresponding characteristic index of the characteristic variable, form the characteristic index data set, use the characteristic index data set to calculate the typical correlation ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the field of fault diagnosis, and discloses a traction system main loop grounding fault diagnosis method and system based on characteristic correlation, so as to reduce the influence of measurement noise and transient working condition change on the fault diagnosis performance and improve the accuracy of fault detection and isolation. The method comprises the following steps: selecting a historical operation data training set, and extracting characteristic variables associated with a traction system main loop grounding fault from original data; calculating corresponding characteristic indexes according to the characteristic variables to form a characteristic index data set, and calculating typical correlation analysis parameters and a fault detection threshold by utilizing the characteristic index data set; selecting a historical fault data set to model a fault vector, and constructing a fixed residual error direction library of various faults; and selecting atest data set, calculating a residual error according to the test data set and the typical correlation analysis parameters, comparing the residual error with the fault detection threshold, and if a fault occurs, calculating a residual error direction of fault data and matching the residual error direction with thee fixed residual error direction library to realize fault isolation.

Description

technical field [0001] The invention relates to the field of fault diagnosis of traction systems, in particular to a method and system for diagnosing grounding faults of main loops of traction systems based on feature correlation. Background technique [0002] The traction system is one of the key systems of modern rail transit trains, and the reliability level of the traction system directly affects the safety of train operation. However, when the train is actually running, the working environment of the traction system is complex, and ground faults are prone to occur, causing short-circuit currents in the system that exceed the tolerance range of the equipment, thereby damaging key core components and affecting train operation. Since the traction system is a nonlinear and strongly coupled system, it is difficult for maintenance personnel to check in time when a ground fault occurs. Therefore, during the operation of the train, if the rapid detection of the ground fault of...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/52
Inventor 陈志文梁可天李学明彭涛阳春华高飞桂卫华
Owner CENT SOUTH UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap