Self-adaptive frequent itemset excavation method-based defect affinity analysis method and device

Abstract

The invention discloses a self-adaptive frequent itemset excavation method-based defect affinity analysis method and device. The method comprises the following steps: a data set for preset coding is obtained, and a total input data set is obtained; a frequent itemset of a first layer is generated; a frequent itemset is searched from a candidate set of each layer, and a corresponding support degreeis saved; a superset of an itemset of a corresponding layer is searched, and a candidate itemset of a next layer is generated; a scanning function is called to check whether the candidate itemset ofthe next layer has a frequent itemset, the candidate itemset of the next layer is built, the frequent itemset of each layer is stored in a knowledge database, and a key link relation is built via an equipment ID and a voltage transformer main diagnosis and evaluation system. Via the method, problems of a conventional method which is slow in static state data analysis and desynchrony between a uniform threshold value and a dynamic data scale can be effective solved via a self-adaptive threshold value algorithm; wide area data support-based voltage transformer defect affinity analysis can be realized, and precision of excavation results can be improved.

Description

technical field [0001] The invention relates to the technical field of intelligent state evaluation of electrical equipment, in particular to a defect affinity analysis method and device based on an adaptive frequent set mining method. Background technique [0002] With the continuous development of social economy, the market demand for power supply load and power supply stability is increasing. On the one hand, the scale of the power grid expands rapidly with the increase in electricity demand. From the perspective of expansion benefits, power transformers are one of the most expensive electrical equipment, and improving their availability during their service period is conducive to reducing the operating costs of the power grid; on the other hand On the one hand, as the core equipment of the power transmission and transformation system, the reliability of the power transformer directly affects the stability of the power system. Therefore, establishing an accurate evaluati...

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Problems solved by technology

[0007] For this reason, an object of the present invention is to propose a kind of defect affinity analysis method based on self-adaptive frequent set mining method, this method can effectively solve the slowness of static data analysis, the unsynchronized problem of unified threshold value and dynamic data scale, thereby Improve the accuracy of mining results and refine evaluation results

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