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Original Articles

Condition Monitoring of Combustion Processes Through Flame Imaging and Kernel Principal Component Analysis

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Pages 1400-1413 | Received 10 Dec 2012, Accepted 18 Apr 2013, Published online: 12 Aug 2013

REFERENCES

  • Ballester , J. , and García-Armingol , T. 2010 . Diagnostic techniques for the monitoring and control of practical flames . Prog. Energy Combust. Sci. , 36 , 375 – 411 .
  • Barlow , R.S. 2007 . Laser diagnostics and their interplay with computations to understand turbulent combustion . Proc. Combust. Inst. , 31 , 49 – 75 .
  • Bersimis , S. , Psarakis , S. , and Panaretos , J. 2007 . Multivariate statistical process control charts: An overview . Qual. Reliab. Eng. Int. , 23 , 517 – 543 .
  • Boser , B.E. , Guyon , I.M. , and Vapnik , V.N. 1992. A training algorithm for optimal margin classifiers. In Proceedings of the 5th Annual Workshop on Computational Learning Theory, Pittsburgh, PA, USA; ACM Press, New York, pp. 144–152. doi: acm.org/10.1145/130385.130401.
  • Cho , J.-H. , Lee , J.-M. , Choi , S.W. , Lee , D. , and Lee , I.-B. 2005 . Fault identification for process monitoring using kernel principal component analysis . Chem. Eng. Sci. , 60 , 279 – 288 .
  • Daubechies , I. 1990 . The wavelet transform, time-frequency localization and signal analysis . IEEE Trans. Inf. Theory , 36 , 961 – 1005 .
  • Graps , A. 1995 . An introduction to wavelets . IEEE Comput. Sci. Eng. , 2 , 50 – 61 .
  • Hernández , R. , and Ballester , J. 2008 . Flame imaging as a diagnostic tool for industrial combustion . Combust. Flame , 155 , 509 – 528 .
  • Huang , Y. , Yan , Y. , Lu , G. , and Reed , A. 1999 . On-line flicker measurement of gaseous flames by images processing and spectral analysis . Meas. Sci. Technol. , 10 , 726 – 733 .
  • Huang , Y. , Yan , Y. , and Riley , G. 2000 . Vision-based measurement of temperature distribution in a 500-kW model furnace using the two-colour method . Measurement , 28 , 175 – 183 .
  • Jackson , J.E. 1991 . A User's Guide to Principal Components , Wiley , New York .
  • Jones , A.R. 1988 . Flame failure detection and modern boilers . J. Phys. E: Sci. Instrum. , 21 , 921 – 928 .
  • Kohse-Höinghaus , K. , Barlow , R.S. , Aldén , M. , and Wolfrum , J. 2005 . Combustion at the focus: Laser diagnostics and control . Proc. Combust. Inst. , 30 , 89 – 123 .
  • Kourti , T. 2005 . Application of latent variable methods to process control and multivariate statistical process control in industry . Int. J. Adapt. Control , 19 , 213 – 246 .
  • Lee , J.-M. , Yoo , C. , Choi , S.W. , Vanrolleghem , P.A. , and Lee , I.-B. 2004a . Nonlinear process monitoring using kernel principal component analysis . Chem. Eng. Sci. , 59 , 223 – 234 .
  • Lee , J.-M. , Yoo , C. , and Lee , I.-B. 2004b . Statistical monitoring of dynamic processes based on dynamic independent component analysis . Chem. Eng. Sci. , 59 , 2995 – 3006 .
  • Lieftucht , D. , Kruger , U. , and Irwin , G.W. 2006 . Improved reliability in diagnosing faults using multivariate statistics . Comput. Chem. Eng. , 30 , 901 – 912 .
  • Lu , G. , Yan , Y. , and Colechin , M. 2004 . A digital imaging based multifunctional flame monitoring system . IEEE Trans. Instrum. Meas. , 53 , 1152 – 1158 .
  • MacGregor , J.F. , and Kourti , T. 1995 . Statistical process control of multivariate processes . Control Eng. Pract. , 3 , 403 – 414 .
  • Qin , S.J. 2003 . Statistical process monitoring: Basics and beyond . J. Chemom. , 17 , 480 – 502 .
  • Schölkopf , B. , Smola , A. , and Muller , K.R. 1998 . Nonlinear component analysis as a kernel eigenvalue problem . Neural Comput. , 10 , 1299 – 1319 .
  • Simoglou , A. , Martin , E.B. , and Morris , A.J. 2000 . Multivariate statistical process control of an industrial fluidised-bed reactor . Control Eng. Pract. , 8 , 893 – 909 .
  • Sun , D. , Lu , G. , Zhou , H. , and Yan , Y. 2011 . Flame stability monitoring and characterization through digital imaging and spectral analysis . Meas. Sci. Technol. , 22 , 114007 .
  • Tavares , G. , Zsigraiova , Z. , Semiao , V. , and Carvalho , M.D.G. 2011 . Monitoring, fault detection and operation prediction of MSW incinerators using multivariate statistical methods . Waste Manage. , 31 , 1635 – 1644 .
  • Yan , Y. , Lu , G. , and Colechin , M. 2002 . Monitoring and characterisation of pulverised coal flames using digital imaging techniques . Fuel , 81 , 647 – 655 .
  • Zhao , H. , and Ladommatos , N. 1998 . Optical diagnostics for soot and temperature measurement in diesel engines . Prog. Energy Combust. Sci. , 24 , 221 – 255 .
  • Zhao , J. , Huang , J. , and Sun , W. 2008 . On-line early fault detection and diagnosis of municipal solid waste incinerators . Waste Manage. , 28 , 2406 – 2414 .
  • Zuo , M.J. , Lin , J. , and Fan , X. 2005 . Feature separation using ICA for a one-dimensional time series and its application in fault detection . J. Sound Vib. , 287 , 614 – 624 .

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