Fanwu Chu


  1. [1] F.W. Chu, X.L. Cui, and Z.H. Li, Hydropower generating states data integration and utilization, International Journal of Power and Energy Systems, 36(2), 2016, 76–83.
  2. [2] Y. Wang, X. Ma, and M.J. Joyce, Reducing sensor complexity for monitoring wind turbine performance using principal component analysis, Renewable Energy, 97, 2016, 444–456.
  3. [3] Z. Lou, D. Shen, and Y. Wang, Two-step principal component analysis for dynamic processes monitoring, Canadian Journal of Chemical Engineering, 2017, 1–11. DOI: 10.1002/cjce.22855,
  4. [4] L.M. Elshenawy, Y. Shen, A.S. Naik, and S.X. Ding, Efficient recursive principal component analysis algorithms for process monitoring, Industrial & Engineering Chemistry Research, 49(1), 2010, 252–259.
  5. [5] W.L. Zhu, J.Z. Zhou, X. Xia, et al., A novel KICA–PCA fault detection model for condition process of hydroelectric generating unit, Measurement, 58, 2014, 197–206.
  6. [6] J.E. Jackson, A user’s guide to principal components (New York, USA: John-Wiley & Sons Inc, 1991).
  7. [7] R. Zimroz and A. Bartkowiak, Investigation on spectral structure of gearbox vibration signals by principal component analysis for condition monitoring purposes, 9th Int. Conf. Damage Assessment of Structures, DAMAS 2011, Oxford, UK, 2011, 12075–12084.
  8. [8] E.B. Martin and A.J. Morris, An overview of multivariate statistical process control in continuous and batch process performance monitoring, Transactions of the Institute of Measurement & Control, 18(1), 1996, 51–60.
  9. [9] Z. Ge, Z. Song, and F. Gao, Review of recent research on databased process monitoring, Industrial & Engineering Chemistry Research, 52(10), 2013, 3543–3562.
  10. [10] X.B. He and P.Y. Yu, Variable MWPCA for adaptive process monitoring, Industrial & Engineering Chemistry Research, 47(2), 2008, 419–427.
  11. [11] W. Li, H.H. Yue, S. Valle-Cervantes, et al., Recursive PCA for adaptive process monitoring, Journal of Process Control, 10(5), 2000, 471–486.
  12. [12] X. Wang, A. Uwe Kruger, and G.W. Irwin, Process monitoring approach using fast moving window PCA, Industrial & Engineering Chemistry Research, 44(15), 2005, 5691–5702.
  13. [13] J.C. Jeng, Adaptive process monitoring using efficient recursive PCA and moving window PCA algorithms, Journal of the Taiwan Institute of Chemical Engineers, 41(4), 2010, 475–481.
  14. [14] H.D. Jin, Y. Lee, G. Lee, and C.H. Han, Robust recursive principal component analysis modeling for adaptive monitoring, Industrial & Engineering Chemistry Research, 45(2), 2006, 696–703.
  15. [15] Z.N. Wei, J.G. Chen, X.P. Pan, P. Ju, et al., Study of the interaction among hydraulic, mechanical and power system, Automation of Electric Power Systems, 24(24), 2000, 26–29.
  16. [16] X.Y. Chen and W. Wu, Remote diagnosis system of hydrogenerator sets based on wavelet-neural network, International Journal of Power and Energy Systems, 27(3), 2007, 305–310.
  17. [17] Z.H. Li, X. Yang, and Y.X. Bi, Digitization of hydro-turbine generator sets and its engineering applications, Automation of Electric Power Systems, 32(23), 2008,76–80.
  18. [18] J.E. Jackson and G.S. Mudholkar, Control procedures for residuals associated with principal component analysis, Technometrics, 21(3), 1979, 341–349.
  19. [19] E.R. Malinowski, Factor analysis in chemistry, 2nd ed. (New York: Wiley-Interscience, 1991).
  20. [20] L.H. Chiang, E.L. Russell, and R.D. Braatz, Fault detection and diagnosis in industrial systems (London: Springer-Verlag, 2001).
  21. [21] W.C. Sang, E.B. Martin, A.J.M. And, et al., Adaptive multivariate statistical process control for monitoring time-varying processes, Industrial & Engineering Chemistry Research, 32(2), 1997, 687–706.
  22. [22] Y.Q. Yang, Y.M. Zhuang, and J.Y. Yang, Image feature extraction and recognition based on similarity of matrices, Journal of Computer Research and Development, 11, 1992, 42–48.
  23. [23] X. Yang, Z.H Li, J.T. Hua, and Y.C. Wu, Automated vibration analysis in loaded condition of hydro turbine generator sets, IEEE Asia-Pacific Power and Energy Engineering Conference, Shanghai, China, 2012, 1–5.
  24. [24] Y.C. Wu, Z.H. Li, B.L. Li, et al., Vibration monitoring approach in integrated system of hydroelectric generating sets for smart power stations, International Journal of Power and Energy Systems, 36(4), 2016, 147–155.
  25. [25] Z.H. Li, Y.Z. Ai, and H.X. Shi, Optimal maintenance information system of Gezhouba Hydro Power Plant, IEEE Power Engineering Society General Meeting, Tampa, USA, 2007, 1–6.

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