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Abnormal symptom diagnostic apparatus and abnormal symptom diagnostic methods

机译:异常症状诊断仪和异常症状诊断方法

摘要

The present invention I provide an abnormal symptom diagnostic equipment such as for diagnosing the presence or absence of abnormal sign of mechanical equipment with a high degree of accuracy. A abnormal sign diagnosing apparatus divides the time the series data acquisition unit, a plurality of time periods the operation schedule of the machinery to obtain the time-series data including the detected value of a plurality of sensors installed on the machine equipment , the clustering means 161 for performing clustering in each time zone, the diagnostic means 162 for diagnosing the presence or absence of abnormality sign of mechanical equipment using the clusters generated or updated by the clustering means 161 includes a clustering section 161, It was added using a normal time series data acquired in the past for each time zone and a cluster generating unit 1611d for generating the cluster, time-series data that is diagnosed as no abnormality prediction by the diagnostic means 162 in the cluster member It has, and the cluster update section 1612d to be updated. .BACKGROUND
机译:本发明提供了一种异常症状诊断设备,例如用于高度准确地诊断机械设备的异常迹象的存在与否。异常标志诊断装置将序列数据获取单元的时间划分为多个时间段,并且将机器的运行时间表划分为多个时间段,以获得包括安装在机器设备上的多个传感器的检测值的时间序列数据,聚类装置。用于在每个时区中执行聚类的161,用于使用由聚类装置161生成或更新的聚类来诊断机械设备的异常迹象的存在或不存在的诊断装置162包括聚类部161,使用正常时间序列对其进行添加。过去在每个时区获取的数据和用于生成集群的集群生成单元1611d,由集群成员中的诊断装置162诊断为没有异常预测的时间序列数据,以及集群更新部分1612d被更新。 。背景

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