为掌握服役时期的海上风机基础状态并对海上风机基础状态进行评估,提出一套结合故障树分析(Fault Tree Analysis,FTA)法、层次分析(Analytic Hierarchy Process,AHP)法和模糊综合评价法的海上风机基础状态评价模型。针对导管架式海上风...为掌握服役时期的海上风机基础状态并对海上风机基础状态进行评估,提出一套结合故障树分析(Fault Tree Analysis,FTA)法、层次分析(Analytic Hierarchy Process,AHP)法和模糊综合评价法的海上风机基础状态评价模型。针对导管架式海上风机基础,考虑海洋腐蚀和海底冲刷,通过p-y曲线法模拟桩-土相互作用,在风浪流载荷的作用下进行动力响应分析,采用故障树对其失效模式进行分析,确定评价指标,构造判断矩阵计算指标权重,运用模糊综合评价法对各指标和整体进行评价。该模型结合各评价方法的优点,使评价结果更有说服力,可为海上风电场运行维护管理提供技术参考。展开更多
The author [Pakkar, M.S. (2014) Using Data Envelopment Analysis and Analytic Hierarchy Process to Construct Composite Indicators. Journal of Applied Operational Research, 6(3), 174-187.] recently proposed a multiplica...The author [Pakkar, M.S. (2014) Using Data Envelopment Analysis and Analytic Hierarchy Process to Construct Composite Indicators. Journal of Applied Operational Research, 6(3), 174-187.] recently proposed a multiplicative approach using Data Envelopment Analysis (DEA) and Analytic Hierarchy Process (AHP) to reflect the priority weights of indicators in constructing composite indicators (CIs). Nonetheless, this approach is limited to the situations with a single level hierarchy which might not satisfy the needs of a multiple level hierarchy. Therefore, the current paper extends this approach to the situations in which the indicators of similar characteristics can be grouped into sub-categories and further linked into categories to form a three-level hierarchical structure. An illustrative example of road safety performance for a set of European countries highlights the usefulness of the proposed “extended approach”.展开更多
文摘为掌握服役时期的海上风机基础状态并对海上风机基础状态进行评估,提出一套结合故障树分析(Fault Tree Analysis,FTA)法、层次分析(Analytic Hierarchy Process,AHP)法和模糊综合评价法的海上风机基础状态评价模型。针对导管架式海上风机基础,考虑海洋腐蚀和海底冲刷,通过p-y曲线法模拟桩-土相互作用,在风浪流载荷的作用下进行动力响应分析,采用故障树对其失效模式进行分析,确定评价指标,构造判断矩阵计算指标权重,运用模糊综合评价法对各指标和整体进行评价。该模型结合各评价方法的优点,使评价结果更有说服力,可为海上风电场运行维护管理提供技术参考。
文摘The author [Pakkar, M.S. (2014) Using Data Envelopment Analysis and Analytic Hierarchy Process to Construct Composite Indicators. Journal of Applied Operational Research, 6(3), 174-187.] recently proposed a multiplicative approach using Data Envelopment Analysis (DEA) and Analytic Hierarchy Process (AHP) to reflect the priority weights of indicators in constructing composite indicators (CIs). Nonetheless, this approach is limited to the situations with a single level hierarchy which might not satisfy the needs of a multiple level hierarchy. Therefore, the current paper extends this approach to the situations in which the indicators of similar characteristics can be grouped into sub-categories and further linked into categories to form a three-level hierarchical structure. An illustrative example of road safety performance for a set of European countries highlights the usefulness of the proposed “extended approach”.