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风电机组的状态–机会维修策略
  • ISSN号:0258-8013
  • 期刊名称:《中国电机工程学报》
  • 时间:0
  • 分类:TM614[电气工程—电力系统及自动化]
  • 作者机构:[1]华北电力大学电气与电子工程学院,河北省保定市071003, [2]国网邯郸市供电公司,河北省邯郸市056035
  • 相关基金:国家自然科学基金项目(51277074).
中文摘要:

风电机组主要部件的维修需要高昂的费用,针对该问题,提出一种新的风电机组动态维修策略,即状态–机会维修策略。该策略指出风机各部件的衰退过程服从比例失效模型,部件的运行状态可通过状态指示器来表述,且部件何时维修以及如何维修可通过状态指示器与维修阈值函数的比较结果来确定。当某部件状态指示器的值越过该部件状态维修阈值函数时,对该部件实施状态维修,此时,若存在其他部件的状态指示器越过自身的机会维修阈值函数,则对其实施机会维修。两条维修阈值函数可通过维修成本最小的方法确定。最后,仿真结果验证了该策略的有效性。

英文摘要:

Faced with the expensive maintenance cost, this paper presented a new dynamical maintenance strategy applied to the main components of wind turbine, which was called condition based opportunistic maintenance strategy. In the strategy, the degradation of component was described by Weibull proportional hazards model, and the condition indicator was defined to characterize the operation condition of component, then it could be confirmed by comparing the condition indicator with the values of maintenance threshold functions to decide when and how a component need to be maintained. Condition based maintenance was implemented on a certain component if its condition indicator reached its condition based maintenance threshold function, and at 'the same time, the opportunistic maintenance of other components whose condition indicators reached their opportunistic maintenance threshold functions were also implemented. The approaches of minimizing the long-run expected cost rate were presented to determine the two threshold functions. Finally, simulation analysis was described to verify the effectiveness of the condition based opportunistic maintenance strategy.

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期刊信息
  • 《中国电机工程学报》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学技术协会
  • 主办单位:中国电机工程学会
  • 主编:张文涛
  • 地址:北京清河小营东路15号 中国电力科学研究院内
  • 邮编:100192
  • 邮箱:pcsee@epri.sgcc.com.cn
  • 电话:010-82812536 82812534 82812545
  • 国际标准刊号:ISSN:0258-8013
  • 国内统一刊号:ISSN:11-2107/TM
  • 邮发代号:82-327
  • 获奖情况:
  • 1992年全国优秀科技期刊三等奖,1992年中国科协优秀科技期刊二等奖,1996年中国科协优秀科技期刊二等奖,中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,波兰哥白尼索引,德国数学文摘,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:98970