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BP neural network-based power communication fault analysis method

A technology of BP neural network and fault analysis method, which is applied in the field of power communication network, can solve the problems of lack of scientific basis, failure warning and situation analysis of power communication network, etc., achieve high prediction accuracy and reduce the influence of human subjective factors , the effect of improving the prediction accuracy

Active Publication Date: 2016-03-30
GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

Since these correlations are only obtained through empirical models and lack sufficient scientific basis, the conclusions obtained are not generally applicable to fault warning and situation analysis in power communication networks.

Method used

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  • BP neural network-based power communication fault analysis method
  • BP neural network-based power communication fault analysis method
  • BP neural network-based power communication fault analysis method

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Embodiment Construction

[0047] combine Figure 1-Figure 4 , a neural network-based power communication network failure analysis method, comprising the following steps:

[0048] Step S101: Obtain multiple sets of alarm data and corresponding fault values ​​within the preset fault cycle range, each set of alarm data includes equipment manufacturer information and alarm category.

[0049] Step S102: Perform numerical processing on the equipment manufacturer information, alarm category, and fault value.

[0050] The way of numerically processing the fault value includes: using a first numerical value to indicate that a fault has occurred, and using a second numerical value to represent that a fault has not occurred. When a device whose first value represents information of a certain device manufacturer sends out a certain type of alarm, it is verified that a fault has occurred. The second numerical value represents the information of a certain equipment manufacturer, and it is verified that no failure ...

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Abstract

The invention specifically relates to a BP neural network-based power communication fault analysis method. The method comprises the steps of acquiring a plurality of groups of alarm data and corresponding fault values within a preset range fault period, wherein each group of alarm data is composed of the equipment manufacturer information and the alarm type; numerically processing the equipment manufacturer information, the alarm type and the fault values; adopting the numerically processed equipment manufacturer information, the alarm type and the fault values as the training sample data, performing the learning training for an initial model of the BP neural network till the prediction accuracy on the initial model of the BP neural network meets the requirement, and obtaining a final model of the BP neural network; according to the final model of the BP neural network, predicting the fault of the power communication network. the above method is high in prediction accuracy, and provides an effective reference for the fault analysis and the recovery of the power communication network.

Description

technical field [0001] The invention relates to the field of electric power communication networks, in particular to a neural network-based fault analysis method for electric power communication networks. Background technique [0002] With the characteristics of collaboration in the power system, the power communication network will carry more and more services such as control and automation, showing the characteristics of multi-system, complex structure, large number of equipment, and diversified operating data. How to face the future big data environment In order to clarify the potential safety hazards in the operation of the power communication network, it is of great significance to the reliable operation of the power communication network. [0003] The operation faults of equipment in the power communication network correspond to the alarms. In the traditional communication network, when an individual fault case occurs, the relationship between the alarms that may be ob...

Claims

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Application Information

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IPC IPC(8): G06N3/08G06Q10/04G06Q50/06
CPCG06N3/088G06Q10/04G06Q50/06
Inventor 吴刚王柏勇陈昌娜陆嘉恩张思敏刘诗怡滕蔓陈伯龙
Owner GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD