Electric locomotive writing pole permanent magnet synchronous traction system based on guiding of expert system

An expert system and traction system technology, applied in the field of electric locomotive traction system, can solve problems such as low accuracy and low efficiency

Inactive Publication Date: 2019-08-16
XIANGTAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem that the traditional traction motor fault diagnosis is to analyze various parameters of the motor by means of experiments to obtain the diagnosis results, the efficiency i...

Method used

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  • Electric locomotive writing pole permanent magnet synchronous traction system based on guiding of expert system
  • Electric locomotive writing pole permanent magnet synchronous traction system based on guiding of expert system
  • Electric locomotive writing pole permanent magnet synchronous traction system based on guiding of expert system

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Embodiment Construction

[0020] This method includes the following steps:

[0021] The schematic diagram of the main circuit of the permanent magnet synchronous traction system is as follows: figure 2 , the temperature sensor is used to pick up the temperature of the shaft of the traction motor traction part (that is, the permanent magnet synchronous motor drive part), and a total of four test points M1 to M4 are set up. Install voltage and current sensors and temperature sensors at the main breaker box, transformer, high-voltage box, and traction auxiliary converter of the main circuit of the permanent magnet synchronous traction system to collect real-time monitoring data of the traction system during operation.

[0022] Step 1. Process the signals collected by the sensors installed on the traction system as follows: Figure 4 shown. The processing method of wavelet packet analysis is to perform wavelet packet transformation on the signal, decompose its low frequency, then reconstruct the low freq...

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Abstract

The invention discloses a technology of using artificial intelligence such as an expert system, a neural network and the like to diagnose a fault of a writing pole permanent magnet synchronous traction system. The specific technical implementation process comprises the steps of firstly extracting a fault symptom, searching cases that are the same as or similar to the current symptom, and if the symptoms are successfully matched, listing similar cases according to similarity; then matching the feature values of the similar cases with the status value of a current traction motor, to acquire thebest case, so as to diagnosis the transaction system, wherein such a process is named as backward verification. The inference mechanism also can be used for correcting the case, and the corrected casecan be used as a new case to be added into a case library. According to the system provided by the invention, the fault diagnosis of the electric locomotive traction system is relatively high in accuracy.

Description

technical field [0001] The invention relates to a traction system of an electric locomotive. In the field of utilization of electric locomotives in which pole-write permanent magnet synchronous motors are applied, expert experience is effectively used to form heuristic knowledge to quickly, effectively and accurately identify faults and solve the problem of fault diagnosis of pole-write traction motors. [0002] technical background [0003] During the actual operation of the electric locomotive, the traction motor is affected by the external complex working environment, such as temperature, grid voltage fluctuation, electromagnetic radiation, rapid start / stop of the vehicle, etc., so that the traction motor is subjected to alternating stress, including air resistance, Electromagnetic force, centrifugal force, etc. In addition, it also includes defects in the manufacture of the traction motor itself, which also leads to the failure of the stator winding, rotor guide bar and o...

Claims

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Application Information

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IPC IPC(8): G01R31/34G06F17/11G06F17/14G06F17/15G06N3/04G06F16/25
CPCG01R31/343G06F17/11G06F17/142G06F17/148G06F17/15G06F16/25G06N3/044
Inventor 易灵芝王艺皓
Owner XIANGTAN UNIV
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