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Power generation systems with monitoring for anomaly detection via nonlinear relationship modeling

机译:通过非线性关系建模对异常检测进行监控的发电系统

摘要

A power generator system with anomaly detection and methods for detecting anomalies include a power generator that includes one or more physical components configured to provide electrical power. Sensors are configured to make measurements of a state of respective physical components, outputting respective time series of said measurements. A monitoring system includes a fitting module configured to determine a predictive model for each pair of a set of time series, an anomaly detection module configured to compare new values of each pair of time series to values predicted by the respective predictive model to determine if the respective predictive model is broken and to determine a number of broken predictive model, and an alert module configured to generate an anomaly alert if the number of broken predictive models exceeds a threshold.
机译:具有异常检测的发电机系统和用于检测异常的方法包括发电机,该发电机包括被配置为提供电力的一个或多个物理组件。传感器被配置为对各个物理组件的状态进行测量,并输出所述测量的各个时间序列。一种监视系统,包括:拟合模块,被配置为确定一组时间序列中的每一对预测模型;异常检测模块,被配置为将每一对时间序列中的新值与各个预测模型所预测的值进行比较,以确定是否破坏各自的预测模型并确定破坏的预测模型的数量,以及警报模块,其被配置为如果破坏的预测模型的数量超过阈值,则产生异常警报。

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