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Abnormality prediction detection system and abnormality precaution detection method

机译:异常预测检测系统与异常预防措施检测方法

摘要

PROBLEM TO BE SOLVED: To provide an abnormality sign detection system with which it is possible to create an appropriate class set even when the number of normal classes and a normal range are unknown.SOLUTION: An abnormality sign detection system comprises: a feature quantity extraction unit 120 for creating a segment feature vector from the state detection data of machinery and equipment to be detected that is recorded in a data recording unit 110; a class set creation unit 150 for determining whether or not each segment is normal on the basis of a plurality of created segment feature vectors tracing back a given time from the current time of day and creating a determiner for discriminating between normal and abnormal as a class set; and a normal class set creation unit 170 for evaluating, using each of the created determiners, the segment feature vector that was used in creating the determiner and excluding an off-determiner in case of not being normal, and thereby determining whether or not the class set is normal and designating a set of remaining determiners after exclusion as a normal class set H.SELECTED DRAWING: Figure 3
机译:要解决的问题:提供一种异常符号检测系统,即使正常类的数量和正常范围都未知,也可以创建适当的类集合。Solution:异常符号检测系统包括:特征量提取单元120用于从待检测的机械设备和设备的状态检测数据创建段特征向量,其被检测在数据记录单元110中;用于基于多个创建的段特征向量来确定每个段是否正常的组设置组件150从当前的一天追踪给定时间并创建用于区分正常和异常的确定器作为类的确定器放;和一个用于评估的普通类设置创建单元170,用于使用每个创建的确定器,用于创建确定器的段特征向量,并在不正常的情况下排除脱离确定器,从而确定类是否设置是正常的,并指定排除后的一组剩余的决定器,作为正常的类设置H.Selected绘图:图3

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