文献类型：期刊文献

中文题名：用马尔可夫预测法决策电力设备的维护停运

英文题名：Deciding on Proper Outage Dates by the Markov Prediction Method for Repair of Power Equipment

作者：李修全[1];帅典勋[1]

机构：[1]华东理工大学计算机科学系,上海200237

年份：2006

卷号：20

期号：2

起止页码：139

中文期刊名：发电设备

外文期刊名：Power Equipment

语种：中文

中文关键词：电工技术;发电厂;发电设备;运行;趋势预测;马尔可夫链;检修优化

外文关键词：electrical engineering; power plant; power equipment; operation; trend prediction; Markov chain; optimized maintenance

摘要：发电设备维护停运的合理安排是设备检修优化中的一个重要问题。用马尔可夫预测法建立了一种用于预测设备运行数量的模型,并用该模型开发了维护停运辅助决策系统,有助于合理选择设备维护停运时间,保证电力生产的可靠性。
Decisions on appropriate arrangement of outages is an important problem to be solved for optimization of equipment maintenance. A model for predicting, by the Markov method, the number required to be kept io operation, has been built, together with a supporting system for decisions on maintenance outages, helpful for choosing the proper time of outages for repair purposes.