摘要
阐述采用贝叶斯公式计算电能表故障引发的异常事件概率,并在现货交易模式下,基于Poisson过程预测异常事件发生次数和时间。通过分析案例中的电能表运行数据,计算出电能表故障引发时钟异常事件的概率和异常事件的次数,并预测下一次故障发生时间和电能表剩余寿命。
This paper expounds the use of Bayesian formula to calculate the probability of abnormal events caused by faults in electric energy meters,and predicts the frequency and time of abnormal events based on Poisson process in spot trading mode.It calculates the probability and frequency of clock abnormal events caused by energy meter faults by analyzing the operating data of the energy meter in the case,and predicts the next occurrence time and remaining life of the energy meter.
作者
时光
SHI Guang(Shandong Electric Equipment Co.,Ltd.,Shandong 250109,China)
出处
《电子技术（上海）》
2024年第7期410-412,共3页
Electronic Technology
