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- W2390980241 abstract "An online regression model of the steam turbine heat rate is established by using the accurate online support vector regression(AOSVR) algorithm. The model updating process, which includes how to add new samples and delete redundant samples, is also presented.Moreover, the AOSVR-based regression model of the heat rate for a 1 000-MW steam turbine is built and compared with the normally used offline models of SVR and LS-SVR. The comparison indicates that the AOSVR-based regression model can be continuously updated according to the new samples, which shows strong self-adaptive and generalizing capabilities and is suitable for online application. Then,further analysis by adding a disturbance to the input parameter shows that the AOSVR model has strong robustness and can overcome the abnormal fluctuation of the input parameters and guarantee the reliability of the heat rate computation." @default.
- W2390980241 created "2016-06-24" @default.
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- W2390980241 date "2014-01-01" @default.
- W2390980241 modified "2023-09-27" @default.
- W2390980241 title "The Turbine Heat Rate Model Based on Accurate Online Support Vector Regression Algorithm" @default.
- W2390980241 hasPublicationYear "2014" @default.
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