Electrical load type identification device

Abstract

The invention discloses an electrical load type identification device. The device comprises an information acquisition module, an information processing module and a communication module, wherein theinformation processing module adopts an improved decision tree classifier based on a membership deviation product or a composite optimization decision tree classifier based on the membership deviationproduct and Bayesian to carry out electrical load type identification; the input characteristics of the classifier comprise the starting current characteristics of the electrical load and the steady-state current spectrum characteristics of the electrical load, and the starting current characteristics comprise the starting process time, a starting current maximum value and the starting current maximum value time. When all input characteristics of different electrical load types can fall into corresponding intermittent input characteristic overlapping areas; or when part of the input characteristics fall out of the effective intervals of the corresponding intermittent input characteristics and the other input characteristics fall into the corresponding intermittent input characteristic overlapping areas, the electrical load type identification is completed.

Description

technical field [0001] The invention relates to an equipment identification and classification device and method, in particular to an electrical load type identification device. Background technique [0002] At present, mainstream electrical load type identification devices and methods including electrical load property identification include electrical load identification methods based on load power comprehensive coefficient algorithms, electrical load identification methods based on electromagnetic induction, and electrical load identification methods based on neural network algorithms. method, electrical load identification method based on periodic discrete transform algorithm, etc. Various methods can realize the identification of electrical load properties to a certain extent, but due to the single characteristic properties and single identification means, there are generally problems of insufficient generalization ability and incomplete and accurate identification. C...

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Problems solved by technology

Various methods can realize the identification of electrical load properties to a certain extent, but due to the single characteristic properties and single identification means, there are generally problems of insufficient generalization ability and incomplete and accurate identification.

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