Modeling method for assessing health state of power equipment

Abstract

The invention discloses a modeling method for assessing the health state of power equipment, and relates to the technical field of electric power. By means of the modeling method, the operating health state characteristics of the power equipment can be modeled, and thus the operation of reasonable use and maintenance, failure prediction, power distribution management and the like can be conveniently carried out on the power equipment. The modeling method for assessing the health state of the power equipment includes the steps that state quantity indexes reflecting the operating state of the power equipment are acquired; a judgment matrix is established through the analytic hierarchy process; the weights of the state quantity indexes are acquired based on the judgment matrix; a fuzzy assessment set suitable for the power equipment is established; the state quantity indexes are made dimensionless; the subjection degrees of the dimensionless state quantity indexes to the fuzzy assessment set are acquired, and a subjection sequence of the power equipment is established; the subjection sequence is processed based on the grey relation theory, and a model for assessing the health state of the power equipment is obtained.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a modeling method for evaluating the health state of electric equipment. Background technique [0002] With the rapid development of the economy, my country's power supply situation is becoming increasingly tense, and the economic losses caused by the failure of the power grid system throughout the country are as high as trillions. The main reason for the analysis is that the failure of the power grid system cannot be dealt with in time. [0003] Because my country's electric power enterprises have been implementing a unified national periodic maintenance system for a long time, its essential feature is based solely on time cycles. This mode obviously has bad problems such as not considering the actual condition of the equipment, lack of pertinence in the maintenance process, insufficient control of the equipment status, failure rules that do not conform to the life of th...

AI Technical Summary

Problems solved by technology

This mode obviously has bad problems such as not considering the actual condition of the equipment, lack of pertinence in the maintenance process, insufficient control of the equipment status, failure rules that do not conform to the life of the existing power equipment, and negative effects such as excessive maintenance. , whether the maintenance system is perfect or not directly affects the reliability level of power equipment, so modeling the operating health status characteristics of power equipment is of great significance for its rational use and maintenance, fault prediction, and power distribution management.

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