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In-operation electric energy meter batch fault diagnosis method based on operation characteristics of dismantled and returned meter

A technology of operating characteristics and fault diagnosis, applied in the direction of measuring electrical variables, instruments, measuring devices, etc., can solve the problem of low accuracy of failure rate of electric energy meters, achieve high accuracy and prevent harm

Active Publication Date: 2021-07-27
北京合众伟奇科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the accuracy of the invention in predicting the failure rate of electric energy meters in operation is low

Method used

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  • In-operation electric energy meter batch fault diagnosis method based on operation characteristics of dismantled and returned meter
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  • In-operation electric energy meter batch fault diagnosis method based on operation characteristics of dismantled and returned meter

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] A method for diagnosing faults in batches of in-transit electric energy meters based on the operation characteristics of disassembled meters, comprising the following steps:

[0034] S1: Use the data cleaning method to process the missing value and abnormal value of the dismantled electric energy meter sorting data and collected abnormal data;

[0035] S2: Input the processed data into the LASSO regression model for automatic learning, extract the regular characteristics of the failure rate of the dismantled electric energy meter batches, and build a fault diagnosis model;

[0036] S3: Use the fault diagnosis model to diagnose the batch failure rate of the electric energy meter in operation.

[0037] In S1, the processed data is used as the independent variable of the LASSO regression model, and the independent variables include the average number of occurrences of uneven power values ​​in this batch, the average number of occurrences of flying away of this batch of ele...

Embodiment 2

[0058] like figure 1 As shown, the method for diagnosing faults in batches of electric energy meters in operation based on the operating characteristics of the dismantled electric energy meters in the embodiment of the present invention differs from Embodiment 1 in that it includes the following steps: (1) Obtaining the sorting result data of electric energy meters that are folded back , Collect abnormal (operating characteristics) data and electric energy meter archive data; (2) Process the above data, including data cleaning, data conversion and data structure; (3) Build a model with the processed data, and use LASSO to build a regression (4) Use the model to diagnose batch failures of electric energy meters in operation.

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Abstract

The invention discloses an in-operation electric energy meter batch fault diagnosis method based on operation characteristics of a disassembled and returned meter, and belongs to the field of electric energy meter fault diagnosis, and the method comprises the following steps: S1, carrying out the missing value and abnormal value processing of the sorted data and the collected abnormal data of the disassembled and returned electric energy meter through a data cleaning method; S2, inputting the processed data into an LASSO regression model for automatic learning, extracting rule characteristics of batch failure rates of the disassembled electric energy meters, and constructing a fault diagnosis model; and S3, using the fault diagnosis model to diagnose the batch fault rate of the electric energy meter in operation. According to the invention, the batch fault of the electric energy meter in operation can be diagnosed through the batch fault rate of the dismounted meter, and the diagnosis accuracy is high.

Description

technical field [0001] The invention relates to the field of fault diagnosis of electric energy meters, in particular to a fault diagnosis method for batches of electric energy meters in operation based on the operation characteristics of dismantled meters. Background technique [0002] Energy meter is the most basic metering equipment in the power industry, and its quality has an important impact on the production and operation of power companies. With the integrated application of "Internet of Things" technology and metering technology and the implementation of the "big marketing" system of the State Grid, the sorting data of the dismantling table and the collection of abnormal (operating characteristics) data accumulated by the network provincial company have laid a solid foundation for the establishment of a fault diagnosis model. data base. It is possible to use the data accumulated in the previous period and apply machine learning technology to mine the change rule of...

Claims

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Application Information

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IPC IPC(8): G01R35/04
CPCG01R35/04
Inventor 付勇路利光王亚勇唐杰吕蒙蒙
Owner 北京合众伟奇科技股份有限公司