Equipment failure rate evaluation method and system based on field data volume

Abstract

The invention discloses an equipment failure rate evaluation method and system based on field data volume, and belongs to the technical field of power equipment state evaluation. The method comprises the following steps: determining a fault mode corresponding to a state quantity of target equipment, and determining a probability distribution density function fCA (x) of a state quantity on-site measured value of the whole equipment; determining a probability distribution density function fCB (x) of a state quantity field measured value of the fault equipment; determining the form of a probability distribution density function fD (y, mu, sigma 2) of a fault threshold corresponding to the state quantity according to the probability distribution density function fCA (x) of the whole equipment state quantity value and the probability distribution density function fCB (x) of the fault equipment state quantity value, and solving an expected value mu and a variance sigma 2 of the function; and calculating the fault rate of a certain equipment individual by utilizing the current value of the state quantity of the equipment individual and the probability density distribution function of the fault threshold.

Description

technical field [0001] The present invention relates to the technical field of electric equipment status evaluation, and more specifically, relates to a method and system for evaluating equipment failure rate based on field data. Background technique [0002] The health status of power transmission and transformation equipment is crucial to the safe operation of the power grid. Power equipment in poor health will seriously threaten the safe operation level of the power grid and even cause grid accidents. How to accurately evaluate the quality of power equipment, discover potential defects of power equipment in time, avoid accidents, maximize the availability of equipment, and extend the service life of equipment has become an important issue in the power industry. [0003] At present, the evaluation of equipment status mainly focuses on the evaluation of the current status of the equipment, and then adopts corresponding maintenance strategies according to the evaluation resu...

AI Technical Summary

Problems solved by technology

The size of the deduction value depends on the importance of the failure mode corresponding to the equipment state quantity, the relative size between the value of the state quantity and the diagnosis threshold; The severity is roughly divided into normal, grade I, grade II, grade III, grade IV), which is not detailed and accurate enough;

[0006] 2) The classification criteria and diagnostic thresholds for the severity of equipment state quantity degradation are also based on relevant standards and specifications. Most of the diagnostic thresholds in these standards come from expert experience, which is not accurate enough, and lacks diagnosis based on the mathematical statistics of actual equipment data Judgment;

[0007] 3) In the current standard, the deduction value is used to represent the state of the equipment. The physical meaning of the deduction value is not accurate enough, and the equivalence between the deduction values ​​caused by different state quantities is not significant enough, resulting in the evaluation of equipment status based on the deduction value. The result is not accurate enough

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