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Power grid component fault diagnosis method based on naive Bayesian network

A Bayesian network and fault diagnosis technology, which is applied in the direction of instruments, measuring electricity, and measuring electrical variables, etc., can solve problems such as low efficiency, time-consuming, and increased burden on operation and maintenance personnel, and achieve the effect of improving speed and work efficiency

Pending Publication Date: 2021-11-02
JIANGSU ELECTRIC POWER CO +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Such an inspection method is inefficient and time-consuming, and carrying a large number of components increases the burden on operation and maintenance personnel

Method used

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  • Power grid component fault diagnosis method based on naive Bayesian network
  • Power grid component fault diagnosis method based on naive Bayesian network
  • Power grid component fault diagnosis method based on naive Bayesian network

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Embodiment Construction

[0034] The present invention is illustrated below by specific examples:

[0035] The invention relates to a method for fault diagnosis of power grid components, in particular, a method for pre-judging faults on the operating states of power grid components by using a naive Bayesian network. It is achieved through the following steps:

[0036] Step 1: Data Preprocessing

[0037] The data set used in the present invention has eleven fields in total, and the corresponding parameter values ​​are as follows:

[0038]

[0039]

[0040] The type of component determines its lifetime, characteristics, and sensitivity to the environment. Therefore, after reading in the original data, the original data set is divided into three sub-data sets according to the three categories of component types "CPU", "DC220V power board" and "display screen", and they are divided, trained and tested respectively. The pertinence and accuracy of the model will be greatly improved. Since the opera...

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Abstract

The invention relates to a power grid component fault diagnosis method based on a naive Bayesian network, and the method comprises the following steps: collecting all data labels of a power grid component, and dividing the data labels into a plurality of word data sets; fusing labels of'design life ', 'installation date' and'damage date 'of the components into'life history', and calculating prior probability P of'fault 'and'normal' running states; (c), adopting vector smoothing for each label; respectively calculating conditional probabilities P (xic) of discrete attribute tags and continuous attribute tags for the data tags; and calculating posterior probabilities P (cx) of which the states are'fault 'and'normal' according to the conditional probabilities, and comparing the posterior probabilities when c is equal to 1 and c is equal to-1. Whether each component fails or not is judged before field diagnosis and maintenance by operation and maintenance personnel, so that components are carried for replacement in a targeted manner, convenience is provided for power grid operation and maintenance personnel, and the fault positioning speed and the working efficiency of power grid working personnel are improved.

Description

technical field [0001] The invention relates to a method for fault diagnosis of power grid components, in particular, a method for pre-judging faults on the operating states of power grid components by using a naive Bayesian network. Background technique [0002] In the daily operation and maintenance of substations, the replacement of substation equipment components is also an important part. Among all components, CPU board, 220V power supply, and display screen are easy to wear and tear, and they are prone to failure during operation, and the suppliers of the above components used in substations in each region are not exactly the same. Therefore, when the operation and maintenance personnel of the power company repair substation component failures, most of them need to carry all types of spare parts and check whether they are damaged one by one. Such an inspection method is inefficient and time-consuming, and carrying a large number of components increases the burden on o...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06K9/62G06Q10/00G06Q50/06G01R31/00G06F111/08G06F119/02
CPCG06F30/27G01R31/00G06Q10/20G06Q50/06G06F2111/08G06F2119/02G06F18/24155
Inventor 马振国谢楠唐兵黄煜铭张柯琪曹丹怡张建勇张斌武周超敏
Owner JIANGSU ELECTRIC POWER CO
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