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Multi-rate principal component regression model for soft sensor application in industrial processes

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References

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61603342), NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization (Grant No. U1609214), and China Postdoctoral Science Foundation (Grant No. 2018M630674)

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Authors and Affiliations

  1. State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, China

    Le Zhou & Zhiqiang Ge

  2. School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou, 310023, China

    Le Zhou & Yaoxin Wang

  3. Hangzhou SIASUN Robot and Automation Co., LTD., Hangzhou, 311225, China

    Le Zhou

Authors
  1. Le Zhou
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  2. Yaoxin Wang
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  3. Zhiqiang Ge
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Correspondence to Zhiqiang Ge.

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Zhou, L., Wang, Y. & Ge, Z. Multi-rate principal component regression model for soft sensor application in industrial processes. Sci. China Inf. Sci. 63, 149205 (2020). https://doi.org/10.1007/s11432-018-9624-8

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  • DOI: https://doi.org/10.1007/s11432-018-9624-8

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