众所周知,在马尔科夫模型下,在每个状态下的逗留时间服从指数分布,这经常太受限制,尤其是在电场可修系统中,不太适合操作数据要求.因此,提出了利用半马尔科夫过程去研究电场可修系统,而且,利用了马尔科夫更新理论和概率分析方法讨论了电场系统的稳态可用度.最后,通过一个数值例子陈述了获得的结果. It is well known that under the Markov model, the residence time in each state is subject to exponential distribution, which is often too limited, especially in electric field repairable systems, which is not suitable for operating data requirements. Therefore, Covert process to study the repairable electric field system, and, using the Markov renewal theory and probability analysis method to discuss the steady-state availability of the electric field system.Finally, a numerical example to illustrate the results obtained.