A Method for Abnormal Warning of Steady-state Analog Based on Dynamic Thresholds
For warning analysis of steady-state analog data such as voltage,current,and temperature,which are common in production and life,the current monitoring system have problems of large threshold maintenance workload,complex algorithm model technology,and frequent or missed warnings caused by single point anomaly recognition.In order to overcome these problems,this paper proposes a method for steady-state analog abnormal warning based on dynamic threshold and sliding window analysis,which could enhance the maintainability and effectiveness of the warning function in the monitoring system.
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