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A method for evaluating the whole life state of power equipment

A technology for power equipment and state evaluation, which is applied in the field of power systems and can solve problems such as low accuracy and one-sidedness of accuracy

Active Publication Date: 2019-04-23
ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, on the one hand, due to reasons such as economic cost and technological development, many power equipment have not yet been equipped with condition monitoring devices. For a long time to come, manual inspection and live detection will still be the most important "monitoring" methods for many equipment. In this way, the evaluation of the whole life state of the power equipment can be realized, but this evaluation method has the disadvantage of low accuracy
On the other hand, even if a condition monitoring device is equipped, such as a certain type of monitoring sensor, it can only reflect the key characteristic quantities corresponding to this type of monitoring sensor, but for sub-health defects that cannot be detected by this type of monitoring sensor and have strong fuzzy , it still needs to rely on manual inspection, and use text reports to record defects as much as possible, so as to realize the comprehensive life-span status evaluation of the power equipment. This evaluation method also has the disadvantages of low accuracy and one-sidedness

Method used

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  • A method for evaluating the whole life state of power equipment
  • A method for evaluating the whole life state of power equipment
  • A method for evaluating the whole life state of power equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] Please refer to figure 1 , figure 1 It is a flow chart of the process of a method for evaluating the state of the whole life of electric equipment provided by the present invention; the method includes:

[0065] Step s101: using natural language processing NLP technology to preprocess the defect text of the electric equipment to obtain the feature vector of the defect text;

[0066] Step s102: Calculate the similarity between the defective text and the preset training set according to the feature vector;

[0067] Step s103: Calculate the defect level of the defect text according to the similarity, and convert the defect level into the first health index HI text , the first health status index HI text As the target health status index HI;

[0068] Step s104: Perform state fusion processing on the target health state index HI, and the obtained result is used as the unit health cycle of the electric equipment;

[0069] Step s105: Integrate the current unit health cycl...

Embodiment 2

[0073] Please refer to figure 2 , figure 2 A flow chart of the process of another method for evaluating the state of the whole life of electric equipment provided by the present invention; the method includes:

[0074] Step s201: using natural language processing NLP technology to preprocess the defect text of the electric equipment to obtain the feature vector of the defect text;

[0075] As a preference, please refer to image 3 , image 3 It is a flow chart of the process of preprocessing the defect text of electric equipment provided by the present invention; this step is specifically:

[0076] Step s2011: performing word segmentation processing on the defect text of the electric equipment to obtain the word segmentation;

[0077] It is understandable that using NLP (Natural Language Processing) technology to preprocess the defect text of power equipment, first of all, based on the pre-compiled "basic vocabulary of power equipment faults and defects", a Markov model ...

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Abstract

The invention discloses an electric power equipment full-life state evaluation method. The electric power equipment full-life state evaluation method comprises steps that, a defective text of electric power equipment is pre-processed by utilizing the nature language processing NLP technology to acquire a characteristic vector of the detective text; similarity between the defective text and a preset training set is calculated according to the characteristic vector; a defect grade of the defective text is calculated according to the similarity, the defect grade is converted into a first health state index HItext, and the first health state index HItext is taken as a target health state index HI; state fusion processing on the target health state index HI is carried out to acquire a result which is taken as a unit health period of the electric power equipment at the present time; the unit health period of the electric power equipment at the present time and all previous unit health periods are integrated to acquired full-life state evaluation information of the electric power equipment. Through the electric power equipment full-life state evaluation method, mining for a lot of effective information contained in the defective text is realized, and accuracy and comprehensiveness of electric power equipment full-life state evaluation are improved.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a method for evaluating the life-span state of power equipment. Background technique [0002] In the power industry, in order to effectively grasp the health status and life status of power equipment, staff usually evaluate the health status of power equipment. [0003] In the power grid, a small number of key power equipment are equipped with condition monitoring devices, such as transformer oil chromatographic analyzers, partial discharge monitors, etc. The state monitoring quantities obtained by these state monitoring devices can reflect some specific characteristic quantities of the electric equipment in real time. However, on the one hand, due to reasons such as economic cost and technological development, many power equipment have not yet been equipped with condition monitoring devices. For a long time to come, manual inspection and live detection will still be the m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/06G06F16/35
Inventor 何文林王慧芳梅冰笑邹国平马润泽邱剑孙翔王文浩谢成
Owner ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY