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- W2814889664 abstract "Industrial boiler is a complex dynamic system. Time-varying and multi-mode characteristics could be induced by load variation, which renders the system even more complicated. Traditional method of principal component analysis (PCA) for optimal operation is prone to be problematic because of the improper multi-model descriptions based on single linear model. This will lead to severe false or omitted alarms. In this paper, selecting a parameter in industrial processes and the size of parameter values as the modal identification value. And using the method of piecewise to monitoring and real-time monitoring by cross and repeated. Accuracy of optimal operation was effectively improved, compared to the traditional and conventional piecewise PCA. Finally, this cross and piecewise method PCA for optimal operation was tested with actual industrial hot water boiler, and proved that this method is superior to the traditional and conventional piecewise PCA methods." @default.
- W2814889664 created "2018-07-19" @default.
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- W2814889664 date "2018-06-01" @default.
- W2814889664 modified "2023-09-25" @default.
- W2814889664 title "Research of optimal operation method based on cross and piecewise PCA for industrial boilers" @default.
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- W2814889664 doi "https://doi.org/10.1109/ccdc.2018.8407243" @default.
- W2814889664 hasPublicationYear "2018" @default.
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