A single equipment quality evaluation method based on failure probability and equipment status

Abstract

The invention discloses a single equipment quality evaluation method based on failure probability and equipment state. The invention proposes a definite equipment quality characterization parameter Q with relatively complete theoretical support and a mathematical model of equipment quality evaluation that can be calculated. The mathematical model is not only based on mathematical statistical analysis theory, but also combines the observation value of equipment state quantity , making the calculation result more accurate than the existing methods such as deduction. The present invention also considers the running time of the equipment and the change process of the state quantity of the equipment, and is more accurate than simply using the equipment state quantity to evaluate the state and then to evaluate the quality of the equipment.

Description

technical field [0001] The invention belongs to the field of electric equipment state evaluation, in particular to a method for evaluating the quality of a single device with equipment failure probability as the quality evaluation standard and equipment state quantity as the judgment basis. Background technique [0002] The health status of power transmission and transformation equipment is very important to the safe operation of the power grid. Power equipment with poor health status will seriously threaten the safe operation level of the power grid and even cause power 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 prolong the service life of equipment has become an important topic in the power industry. [0003] At present, the evaluation of equipment state mainly focuses on the evaluation of the current state of the equipment, an...

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Problems solved by technology

Obviously, this kind of prediction method can only predict the state quantity of a certain equipment, and its prediction results include the state performance degradation law and measurement error of this equipment, but cannot reflect the state performance degradation law among various equipment The random components in the system cannot reflect the common law in the process of the state performance degradation of multiple devices

That is, in the existing power equipment state quantity prediction algorithm, the prediction of a certain equipment state performance degradation function is definite (that is, the parameters in the degradation law or the state quantity change function over time are definite, simply put The equipment degradation rate is fixed), it is difficult to reflect the random factors in the degradation process of a certain equipment (that is, the equipment degradation speed is random); and the state change data of other equipment is not considered, that is, the overall Law of State Deterioration

Therefore, the accuracy of the prediction results obtained by the existing state quantity prediction methods is not high

[0008] 3) There are no clear and relatively complete theoretical support for equipment quality characterization parameters and mathematical models for equipment quality evaluation that can be calculated

As mentioned above, the existing state evaluation of power equipment is characterized by deduction points, and the evaluation results are roughly divided into four levels, which is not accurate and precise enough.

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