基于Markov模型的分布式电源故障管理研究

Research on distributed power failure management based on Markov model

在分析马尔可夫(Markov)模型的基础上,构建了以Markov模型为主体的分布式电源故障预测模型。该模型以系统智能体为载体,以多传感器信息融合为依托,实现了序列化的故障推测过程。为保证预测的准确性,又增加了神经网络算法,从而提高了预测的精度,保证了系统的可靠性。

Based on the analysis of Markov model, the distributed power failure prediction model was constructed with Markov model as the main body. The model used the system agent as the carrier and multi-sensor information fusion as the support to realize the serialized fault estimation process. In order to ensure the accuracy of prediction and reliability of the system, it increased the neural network algorithm.