메뉴 건너뛰기




Volumn 33, Issue , 2015, Pages 60-76

Reconstruction-based contribution approaches for improved fault diagnosis using principal component analysis

Author keywords

Continuous stirred tank reactor (CSTR); Fault detection and diagnosis; Principal component analysis; Reconstruction based contribution

Indexed keywords


EID: 84934301267     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2015.06.004     Document Type: Article
Times cited : (62)

References (29)
  • 1
    • 0037443770 scopus 로고    scopus 로고
    • A review of process fault detection and diagnosis: Part I: Quantitative model-based methods
    • V. Venkatasubramanian, R. Rengaswamy, K. Yin, and S.N. Kavuri A review of process fault detection and diagnosis: Part I: Quantitative model-based methods Comput. Chem. Eng. 27 2003 293 311
    • (2003) Comput. Chem. Eng. , vol.27 , pp. 293-311
    • Venkatasubramanian, V.1    Rengaswamy, R.2    Yin, K.3    Kavuri, S.N.4
  • 2
    • 0037443771 scopus 로고    scopus 로고
    • A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies
    • V. Venkatasubramanian, R. Rengaswamy, K. Yin, and S.N. Kavuri A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies Comput. Chem. Eng. 27 2003 313 326
    • (2003) Comput. Chem. Eng. , vol.27 , pp. 313-326
    • Venkatasubramanian, V.1    Rengaswamy, R.2    Yin, K.3    Kavuri, S.N.4
  • 3
    • 0037443803 scopus 로고    scopus 로고
    • A review of process fault detection and diagnosis: Part III: Process history based methods
    • V. Venkatasubramanian, R. Rengaswamy, K. Yin, and S.N. Kavuri A review of process fault detection and diagnosis: Part III: Process history based methods Comput. Chem. Eng. 27 2003 327 346
    • (2003) Comput. Chem. Eng. , vol.27 , pp. 327-346
    • Venkatasubramanian, V.1    Rengaswamy, R.2    Yin, K.3    Kavuri, S.N.4
  • 4
    • 18844397336 scopus 로고    scopus 로고
    • Application of latent variable methods to process control and multivariate statistical process control in industry
    • T. Kourti Application of latent variable methods to process control and multivariate statistical process control in industry Int. J. Adapt. Control Signal Process. 19 2005 213 246
    • (2005) Int. J. Adapt. Control Signal Process. , vol.19 , pp. 213-246
    • Kourti, T.1
  • 5
    • 0028483476 scopus 로고
    • Monitoring batch processes using multiway principal component analysis
    • P. Nomikos, and J.F. MacGregor Monitoring batch processes using multiway principal component analysis AIChE J. 40 1994 1361 1375
    • (1994) AIChE J. , vol.40 , pp. 1361-1375
    • Nomikos, P.1    MacGregor, J.F.2
  • 7
    • 0242354134 scopus 로고    scopus 로고
    • Statistical process monitoring: Basics and beyond
    • S.J. Qin Statistical process monitoring: basics and beyond J. Chemometr. 17 2003 480 502
    • (2003) J. Chemometr. , vol.17 , pp. 480-502
    • Qin, S.J.1
  • 8
    • 3142689683 scopus 로고    scopus 로고
    • Determination of the number of significant components in liquid chromatography nuclear magnetic resonance spectroscopy
    • M. Wasim, and R.G. Brereton Determination of the number of significant components in liquid chromatography nuclear magnetic resonance spectroscopy Chemometr. Intell. Lab. Syst. 72 2004 133 151
    • (2004) Chemometr. Intell. Lab. Syst. , vol.72 , pp. 133-151
    • Wasim, M.1    Brereton, R.G.2
  • 9
    • 0033230994 scopus 로고    scopus 로고
    • Selection of the number of principal components: The variance of the reconstruction error criterion with a comparison to other methods
    • S. Valle, W. Li, and S.J. Qin Selection of the number of principal components: the variance of the reconstruction error criterion with a comparison to other methods Ind. Eng. Chem. Res. 38 1999 4389 4401
    • (1999) Ind. Eng. Chem. Res. , vol.38 , pp. 4389-4401
    • Valle, S.1    Li, W.2    Qin, S.J.3
  • 13
    • 0035802262 scopus 로고    scopus 로고
    • Reconstruction-based fault identification using a combined index
    • H.H. Yue, and S.J. Qin Reconstruction-based fault identification using a combined index Ind. Eng. Chem. Res. 40 2001 4403 4414
    • (2001) Ind. Eng. Chem. Res. , vol.40 , pp. 4403-4414
    • Yue, H.H.1    Qin, S.J.2
  • 14
    • 67349245154 scopus 로고    scopus 로고
    • Reconstruction-based contribution for process monitoring
    • C.F. Alcala, and S.J. Qin Reconstruction-based contribution for process monitoring Automatica 45 2009 1593 1600
    • (2009) Automatica , vol.45 , pp. 1593-1600
    • Alcala, C.F.1    Qin, S.J.2
  • 15
    • 79952573528 scopus 로고    scopus 로고
    • Analysis and generalization of fault diagnosis methods for process monitoring
    • C.F. Alcala, and S.J. Qin Analysis and generalization of fault diagnosis methods for process monitoring J. Process Control 21 2011 322 330
    • (2011) J. Process Control , vol.21 , pp. 322-330
    • Alcala, C.F.1    Qin, S.J.2
  • 16
    • 84878228342 scopus 로고    scopus 로고
    • Generalization and analysis of sufficient conditions for PCA-based fault detectability and isolability
    • B. Mnassri, E.M. El Adel, and M. Ouladsine Generalization and analysis of sufficient conditions for PCA-based fault detectability and isolability Annu. Rev. Control 37 2013 154 162
    • (2013) Annu. Rev. Control , vol.37 , pp. 154-162
    • Mnassri, B.1    El Adel, E.M.2    Ouladsine, M.3
  • 17
    • 0034621628 scopus 로고    scopus 로고
    • Generalized contribution plots in multivariate statistical process monitoring
    • J.A. Westerhuis, S.P. Gurden, and A.K. Smilde Generalized contribution plots in multivariate statistical process monitoring Chemometr. Intell. Lab. Syst. 51 2000 95 114
    • (2000) Chemometr. Intell. Lab. Syst. , vol.51 , pp. 95-114
    • Westerhuis, J.A.1    Gurden, S.P.2    Smilde, A.K.3
  • 20
    • 0031644999 scopus 로고    scopus 로고
    • A unified geometric approach to process and sensor fault identification and reconstruction: The unidimensional fault case
    • R. Dunia, and S.J. Qin A unified geometric approach to process and sensor fault identification and reconstruction: the unidimensional fault case Comput. Chem. Eng. 22 1998 927 943
    • (1998) Comput. Chem. Eng. , vol.22 , pp. 927-943
    • Dunia, R.1    Qin, S.J.2
  • 21
    • 0032144398 scopus 로고    scopus 로고
    • Subspace approach to multidimensional fault identification and reconstruction
    • R. Dunia, and S.J. Qin Subspace approach to multidimensional fault identification and reconstruction AIChE J. 44 1998 1813 1831
    • (1998) AIChE J. , vol.44 , pp. 1813-1831
    • Dunia, R.1    Qin, S.J.2
  • 22
    • 80051912783 scopus 로고    scopus 로고
    • Generalized reconstruction-based contributions for output-relevant fault diagnosis with application to the Tennessee Eastman process
    • G. Li, C.F. Alcala, S.J. Qin, and D. Zhou Generalized reconstruction-based contributions for output-relevant fault diagnosis with application to the Tennessee Eastman process IEEE Trans. Control Syst. Technol. 19 2011 1114 1127
    • (2011) IEEE Trans. Control Syst. Technol. , vol.19 , pp. 1114-1127
    • Li, G.1    Alcala, C.F.2    Qin, S.J.3    Zhou, D.4
  • 23
    • 84862788679 scopus 로고    scopus 로고
    • Fault diagnosis of continuous annealing processes using a reconstruction-based method
    • Q. Liu, T. Chai, and S.J. Qin Fault diagnosis of continuous annealing processes using a reconstruction-based method Control Eng. Pract. 20 2012 511 518
    • (2012) Control Eng. Pract. , vol.20 , pp. 511-518
    • Liu, Q.1    Chai, T.2    Qin, S.J.3
  • 24
    • 77956075435 scopus 로고    scopus 로고
    • Reconstruction-based contribution for process monitoring with kernel principal component analysis
    • C.F. Alcala, and S.J. Qin Reconstruction-based contribution for process monitoring with kernel principal component analysis Ind. Eng. Chem. Res. 49 2010 7849 7857
    • (2010) Ind. Eng. Chem. Res. , vol.49 , pp. 7849-7857
    • Alcala, C.F.1    Qin, S.J.2
  • 25
    • 84880896724 scopus 로고    scopus 로고
    • Weighted reconstruction-based contribution for improved fault diagnosis
    • H. Xu, F. Yang, H. Ye, W. Li, P. Xu, and A.K. Usadi Weighted reconstruction-based contribution for improved fault diagnosis Ind. Eng. Chem. Res. 52 2013 9858 9870
    • (2013) Ind. Eng. Chem. Res. , vol.52 , pp. 9858-9870
    • Xu, H.1    Yang, F.2    Ye, H.3    Li, W.4    Xu, P.5    Usadi, A.K.6
  • 26
    • 84869089680 scopus 로고    scopus 로고
    • Survey on data-driven industrial process monitoring and diagnosis
    • S.J. Qin Survey on data-driven industrial process monitoring and diagnosis Annu. Rev. Control 36 2012 220 234
    • (2012) Annu. Rev. Control , vol.36 , pp. 220-234
    • Qin, S.J.1
  • 27
    • 0000235653 scopus 로고
    • Some theorems on quadratic forms applied in the study of analysis of variance problems, I. Effect of inequality of variance in the one-way classification
    • G.E.P. Box Some theorems on quadratic forms applied in the study of analysis of variance problems, I. Effect of inequality of variance in the one-way classification Ann. Math. Stat. 25 1954 290 302
    • (1954) Ann. Math. Stat. , vol.25 , pp. 290-302
    • Box, G.E.P.1
  • 28
    • 0035427805 scopus 로고    scopus 로고
    • Fault diagnosis with multivariate statistical models. Part I: Using steady state fault signatures
    • S. Yoon, and J.F. MacGregor Fault diagnosis with multivariate statistical models. Part I: Using steady state fault signatures J. Process Control 11 2001 387 400
    • (2001) J. Process Control , vol.11 , pp. 387-400
    • Yoon, S.1    MacGregor, J.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.