| 引用本文: | 万安平,陈坚红,盛德仁,胡亚才,陈启构.基于实时状态监测的燃气轮机CBM决策系统[J].电力自动化设备,2013,33(7): |
| WAN Anping,CHEN Jianhong,SHENG Deren,HU Yacai,CHEN Qigou.CBM decision-making system based on real-time status monitoring for gas turbine[J].Electric Power Automation Equipment,2013,33(7): |
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| 摘要: |
| 提出一种基于实时状态监测的燃气轮机视情维修（CBM）决策系统。该系统以实时数据库中燃气轮机的实际运行状态信息数据为依据，采用燃气轮机相关部件寿命预测计算方法，推算当前状态下的使用寿命（运行时数和启动次数），并折算成基准运行条件下的等效使用寿命，然后与最大维修寿命进行比较，预测得到剩余寿命。基于运行时数和启动次数的维修系数和服务系数的乘积，提出等效服务系数的概念；根据已运行时段和待预测时段的等效服务系数之间的关系，建立了4类CBM决策模型，进而对燃气轮机相关部件的具体维修时机进行决策。最后，应用ASP.NET技术，开发了基于B／S架构模式的燃气轮机CBM决策系统，并应用于工程实际，验证了该系统的有效性和实用性。 |
| 关键词: 燃气轮机 监测 寿命预测 服务系数 视情维修 |
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| CBM decision-making system based on real-time status monitoring for gas turbine |
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WAN Anping1, CHEN Jianhong1, SHENG Deren1, HU Yacai1, CHEN Qigou2
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1.Institute of Thermal Science and Power System，Zhejiang University，Hangzhou 310027，China;2.Xiaoshan Power Plant of Zhejiang Southeast Electric Power Co.，Ltd.，Hangzhou 311251，China
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| Abstract: |
| A CBM（Condition-Based Maintenance） decision-making system is proposed for gas turbine，which，based on its actual operating state information in the real-time data base，applies the residual life prediction method for its components to calculate the service life（running hours and start／stop cycles） under current operating states，converts the service life into the equivalent service life under benchmark operating conditions，and predicts the residual life by the comparison between the equivalent service life and the maximum maintenance life. The concept of equivalent service factor is proposed based on the products of maintenance factor and service factor. According to the relationship between the equivalent service factor of operated period and that of predictive period，four CBM decision-making models are established for the specific maintenance time of gas turbine component. The ASP.NET technology is applied in the development of a CBM decision-making system based on B／S structure and its effectiveness and practicability are verified by a practical project. |
| Key words: gas turbines monitoring life prediction service factor condition-based maintenance |
