Electrical load starting operation identification device

Abstract

The invention discloses an electrical load starting operation identification device. The electrical load starting operation identification device comprises an information acquisition module, an information processing module and a communication module; the information processing module adopts an improved decision tree classifier based on the membership deviation quadratic sum or a composite optimization decision tree classifier based on the membership deviation quadratic sum and Bayesian to carry out electrical load starting operation identification; the input characteristics of the classifiercomprise starting current characteristics of the electrical load and 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; 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 when the other input characteristics fall into the corresponding intermittent input characteristic overlapping areas, the electric load starting operation 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 start-up operation identification device. Background technique [0002] At present, the mainstream electrical load types or start-up operation identification methods including the identification of electrical load properties include the electrical load identification method based on the load power comprehensive coefficient algorithm, the electrical load identification method based on electromagnetic induction, and the electrical load identification method based on neural network algorithm. Identification 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 genera...

AI Technical Summary

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, especially in the case of multiple loads operating at the same time In this situation, the start-up operation of the electrical load cannot be accurately identified

Images