Abstract
An identification model based on principal component analysis which can reflect thermal efficiency is proposed, in order to improve the operation efficiency of boiler. It can monitor the thermal efficiency online and estimate the key influential parameters. The monotonic relationship between thermal efficiency and SPE statistic is verified by large numbers of historical data. When the boiler’s operation efficiency decreases, the influential parameters can be directly got by contribution plot method, which guide operators in real-time to adjust these and maintain boiler efficient operation. The practice shows that this method is feasible.
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© 2014 Springer International Publishing Switzerland
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Wang, W., Chen, L., Han, X., Ge, Z., Wang, S. (2014). Modeling and Application of Principal Component Analysis in Industrial Boiler. In: Zeng, Z., Li, Y., King, I. (eds) Advances in Neural Networks – ISNN 2014. ISNN 2014. Lecture Notes in Computer Science(), vol 8866. Springer, Cham. https://doi.org/10.1007/978-3-319-12436-0_44
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DOI: https://doi.org/10.1007/978-3-319-12436-0_44
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