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Fault diagnosis method for track circuit red light belt based on fta and multi-level fuzzy neural subnetwork

A technology of fuzzy neural and fault diagnosis, which is applied in electrical testing/monitoring, instruments, control/regulation systems, etc., and can solve problems such as failure to meet the requirements of track circuit fault diagnosis

Inactive Publication Date: 2017-06-30
CHINA RAILWAYS CORPORATION +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the complexity and uncertainty between the fault symptoms, fault modes and fault mechanism of the track circuit, a single diagnostic method cannot meet the requirements of track circuit fault diagnosis.

Method used

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  • Fault diagnosis method for track circuit red light belt based on fta and multi-level fuzzy neural subnetwork
  • Fault diagnosis method for track circuit red light belt based on fta and multi-level fuzzy neural subnetwork
  • Fault diagnosis method for track circuit red light belt based on fta and multi-level fuzzy neural subnetwork

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0091] Diagnose the "red light band fault" of the ZPW-2000 track circuit.

[0092] figure 2 Shown is the structural schematic diagram of ZPW-2000 track circuit system, which is mainly composed of transmitter, receiver, attenuator, lightning protection combination, cable simulation network, SPT cable, compensation capacitor, matching transformer, and tuning unit in the electrical insulation section And air core coil and other equipment. The diagnostic scheme for the "red light band fault" of the ZPW-2000 track circuit is implemented as follows:

[0093] 1) FTA qualitative analysis:

[0094] first as image 3 As shown, through fault investigation and analysis, a fault tree model of the macroscopic ZPW-2000 track circuit system is built, and its fault types are divided into indoor faults and outdoor faults; and then as Figure 4 As shown, taking the red light belt fault as the top event, combined with expert experience and fault investigation and analysis results, the fault ...

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PUM

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Abstract

The invention discloses a track circuit red-light strip default diagnosis method based on the FTA and a multilevel fuzzy-neural sub-network. The establishment of a default diagnosis module mainly comprises flowing steps of (1) FTA qualitative analysis for determining a default tree module according to default investigation and analysis and using the descending method to search the minimum cutset; (2) FTA quantitative analysis for solving probability of occurrence of an intermediate event and a top event according to probability of occurrence of a bottom event obtained according to the investigation and analysis and applying the Fussell method to analyze the importance degree of the minimum cuset; (3) extracting default diagnosis rules by analyzing knowledge contained in the default tree; (4) designing a diagnosis system structure and constructing a multilevel fuzzy-neural sub-network module according to the FTA analysis results; (5) setting fuzzy subordinating degree function parameter according to a to-be-diagnosed object, and adjusting network weights via sample learning and training so as to determine a default diagnosis module; and (6) inputting the measured data into the default diagnosis module in the actual running so as to obtain default diagnosis results via calculation. The track circuit red-light strip default diagnosis method can be used for automatically positioning a default point rapidly during a ZPW-2000 non-insulated frequency shift track circuit red-light strip default.

Description

technical field [0001] The present invention relates to the field of fault handling of railway signal equipment, and relates to a ZPW-2000 track circuit fault diagnosis method, specifically a ZPW-2000 non-insulated frequency-shifting track circuit red based on FTA and multi-level fuzzy neural sub-network Optical belt fault intelligent diagnosis method. [0002] technical background [0003] Track circuit is an important basic equipment of modern high-speed railway signaling system. It is used to monitor track occupancy and transmit train operation control information to ensure train operation safety. It is the key maintenance object of the electric department. At present, the ZPW-2000 non-insulated frequency-shifting track circuit is widely used in passenger dedicated lines and high-speed railways in my country due to its strong anti-interference ability, long transmission length, high transmission safety, and easy traction return, and has been established as a national In th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02
CPCG05B23/0254
Inventor 王小敏陆晓峰郭进潘炜陈建译
Owner CHINA RAILWAYS CORPORATION
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