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DIAGNOSTIC EQUIPMENT OF DETERIORATION CHARACTERISTICS DUE TO AGING AND DIAGNOSTICS METHOD OF DETERIORATION DUE TO AGING

机译:老龄化的特征的诊断设备和老龄化的诊断方法

摘要

FIELD: data processing; physics.;SUBSTANCE: invention relates to diagnosis of deterioration characteristics due to aging. Equipment includes module (3) for generating deterioration patterns of characteristics to form a degradation pattern indicating signal intensity distributions for the measured signals and a phase of alternating voltage, module (4) for calculating histograms for calculating a gradient density vector of signals in each of points of distribution of a pattern of degradation of characteristics and calculation for each of different ranges of phase ranges, from the calculated histogram gradient vector in the direction of the signal density gradient in the relevant phase range, module (5) for forming feature vectors for forming a feature vector, in which values of histogram sample elements are aligned for each of the phase ranges, and module (9) for identifying reasons for deterioration of characteristics for searching from among vectors of attributes of a feature vector similar to a feature vector formed by module (5) and outputting a cause of deterioration of characteristics associated with a similar feature vector.;EFFECT: possibility of identifying deterioration of equipment without using a neural network.;7 cl, 11 dwg
机译:领域:数据处理;物理:本发明涉及由于老化引起的劣化特性的诊断。该设备包括:模块(3),用于生成特性的劣化模式以形成指示所测信号的信号强度分布和交流电压相位的劣化模式;模块(4),用于计算直方图,以计算每个信号的梯度密度矢量对于相变的不同范围中的每个范围,特征的退化模式的分布点和计算,从在相关相范围中沿信号密度梯度方向计算出的直方图梯度向量,到用于形成特征向量的模块(5)形成特征向量,其中模块(9)用于针对每个相位范围对准直方图样本元素的值,以及模块(9),用于识别特征恶化的原因,以便从类似于形成的特征向量的特征向量的属性向量中进行搜索由模块(5)输出并输出与之相关的特性劣化的原因相似的特征向量;效果:无需使用神经网络就可以识别设备的退化情况; 7 cl,11 dwg

著录项

  • 公开/公告号RU2724455C1

    专利类型

  • 公开/公告日2020-06-23

    原文格式PDF

  • 申请/专利权人 MITSUBISHI ELECTRIC CORPORATION;

    申请/专利号RU20190139388

  • 发明设计人 WAKABAYASHI YUICHI (JP);

    申请日2017-06-14

  • 分类号G01R31/12;

  • 国家 RU

  • 入库时间 2022-08-21 11:02:24

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