Research on Condition Monitoring Methods of Electrical Equipment
In order to effectively judge the state of electrical equipment and give early warning before equipment failure,a condition monitoring method based on data flow detection technology is proposed.First,the task data Identity Document(ID)set is built on the basis of parsing the monitoring task.Secondly,the delay probability density function is constructed by fitting the difference frequency between the data and the transmission time with the help of the data arrival frequency,and the sliding window is allocated according to the number of window buffer data to realize the uploading,discarding or classification of state data.Finally,based on the delay probability density function,a formula was built to define the sliding window specification to judge the status monitoring of the existing data flow,and the two kernel functions of the neighboring center were fitted to estimate the data flow density,and the device status monitoring was judged by the fitting error value.According to the simulation results,the proposed method can accurately identify abnormal fluctuations when the frequency fluctuations change,and the monitoring accuracy is high.
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