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METHOD AND SYSTEM FOR IDENTIFYING AND FORECASTING THE DEVELOPMENT OF FAULTS IN EQUIPMENT

机译:用于识别和预测设备故障发展的方法和系统

摘要

The invention relates to the remote monitoring of equipment. In a method for identifying incipient faults in technical equipment, data is obtained about the equipment being monitored; a reference sample of performance indices of the equipment is generated; state matrices and empirical state forecasting models are constructed. Disruptions and integral criteria characterizing deviations in the parameter indices of the equipment being monitored are also determined; information from the equipment being monitored is analyzed; the reference sample is modified; the empirical models are updated. The degree to which the parameter indices of the equipment being monitored deviate from the indices of the empirical models is also determined, and disruptions pertaining to such indices are identified. The calculated disruptions are then ranked; an anomaly for a performance index of the equipment is determined; the type of fault is determined for each anomaly; an equipment fault classifier is generated and an incipient fault is determined and the development thereof is forecast. Automated fault determination is hereby provided.
机译:本发明涉及设备的远程监控。在一种用于识别技术设备中的初始故障的方法中,获取数据被监控的设备;产生设备的性能指标的参考样本;构建了国家矩阵和经验状态预测模型。还确定了所监测设备的参数指标中的偏差的中断和积分标准;分析监控设备的信息;参考样品进行修改;经验模型已更新。还确定了被监视的设备的参数指标偏离经验模型的指标的程度,并确定了与此类指标有关的中断。然后将计算的中断排列;确定了设备性能指标的异常;针对每个异常确定故障类型;生成设备故障分类器,确定初始故障并预测其开发。由此提供自动故障确定。

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