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发明公开
CN107220712A 一种基于马尔科夫过程的换流阀状态监测和检修决策的方法及系统 有权

一种基于马尔科夫过程的换流阀状态监测和检修决策的方法及系统
摘要：
本发明公开了一种基于马尔科夫过程的换流阀状态监测和状态检修决策的方法，包括：确定描述换流阀的不同的劣化状态，根据不同的劣化状态，确定与劣化状态对应的状态监测和与劣化状态对应的状态检修决策；根据历史数据，获取换流阀的不同的劣化状态的转移率，确定不同的劣化状态、与劣化状态对应的状态监测和与劣化状态对应状态检修决策的期望收益；确定基于马尔科夫过程的换流阀停留在不同的劣化状态的状态频率和在不同的劣化状态的平均持续时间；根据平均持续时间确定换流阀的可用时间，确定最优的状态监测频率；根据平均持续时间确定换流阀的不同的劣化状态、状态监测和与状态检修决策的期望收益总和，确定最优的状态检修决策。
摘要（英）：

The invention discloses a converter valve state monitoring and state maintenance decision method based on a Markov process. The method comprises steps that different deterioration states for describing a converter value are determined, according to the different deterioration states, state monitoring corresponding to the deterioration states and state maintenance decision corresponding to the deterioration states are determined; according to historical data, transfer rates of the different deterioration states of the converter valve are acquired, and the different deterioration states, state monitoring corresponding to the deterioration states and expected return of state maintenance decision corresponding to the deterioration states are determined; state frequency of the converter valve staying at the different deterioration states and the average continuity time of the different deterioration states based on the Markov process are determined; according to the average continuity time, the available time of the converter value is determined, and optimal state monitoring frequency is determined; according to the average continuity time, the different deterioration states of the converter valve and a total expected return of state monitoring and state maintenance decision are determined, and optimal state maintenance decision is determined.

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