메뉴 건너뛰기




Volumn 43, Issue 15, 2004, Pages 4293-4304

Sensor fault identification in MSPM using reconstructed monitoring statistics

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL REACTORS; COMPUTER SIMULATION; PROBLEM SOLVING; SENSORS; STATISTICAL METHODS;

EID: 3242665171     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie034246z     Document Type: Article
Times cited : (6)

References (23)
  • 1
    • 0029267381 scopus 로고
    • Statistical process control of multivariate processes
    • MacGregor, J. F.; Kourti, T. Statistical process control of multivariate processes. Control Eng. Pract. 1995, 3, 403-414.
    • (1995) Control Eng. Pract. , vol.3 , pp. 403-414
    • MacGregor, J.F.1    Kourti, T.2
  • 2
    • 0002878789 scopus 로고
    • Recent advances in multivariate statistical process control: Improving robustness and sensitivity
    • Najim, K., Dufour, E., Eds.; Elsevier Science: New York
    • Wise, B. M.; Ricker, N. L. Recent advances in multivariate statistical process control: Improving robustness and sensitivity. In Proceedings of the IFAC ADCHEM Symposium; Najim, K., Dufour, E., Eds.; Elsevier Science: New York, 1991; pp 125-130.
    • (1991) Proceedings of the IFAC ADCHEM Symposium , pp. 125-130
    • Wise, B.M.1    Ricker, N.L.2
  • 3
    • 0030269512 scopus 로고    scopus 로고
    • Identification of faulty sensors using principal component analysis
    • Dunia, R.; Qin, S. J.; Edgar, T. F.; McAvoy, T. J. Identification of faulty sensors using principal component analysis. AIChE J. 1996, 42, 2797-2812.
    • (1996) AIChE J. , vol.42 , pp. 2797-2812
    • Dunia, R.1    Qin, S.J.2    Edgar, T.F.3    McAvoy, T.J.4
  • 4
    • 0035802262 scopus 로고    scopus 로고
    • Reconstruction-based fault identification using a combined index
    • Yue, H. H.; Qin, S. J. Reconstruction-Based Fault Identification Using a Combined Index. Ind. Eng. Chem. Res. 2001, 40, 4403-4414.
    • (2001) Ind. Eng. Chem. Res. , vol.40 , pp. 4403-4414
    • Yue, H.H.1    Qin, S.J.2
  • 5
    • 0031139929 scopus 로고    scopus 로고
    • Self-validating inferential sensors with application to air emission monitoring
    • Qin, S. J.; Yue, H.; Dunia, R. Self-Validating Inferential Sensors with Application to Air Emission Monitoring. Ind. Eng. Chem. Res. 1997, 30, 1675-1685.
    • (1997) Ind. Eng. Chem. Res. , vol.30 , pp. 1675-1685
    • Qin, S.J.1    Yue, H.2    Dunia, R.3
  • 6
    • 0032049479 scopus 로고    scopus 로고
    • Joint diagnosis of process and sensor faults using principal component analysis
    • Dunia, R.; Qin, S. J. Joint diagnosis of process and sensor faults using principal component analysis. Control Eng. Pract. 1998, 6, 457-469.
    • (1998) Control Eng. Pract. , vol.6 , pp. 457-469
    • Dunia, R.1    Qin, S.J.2
  • 7
    • 0034143479 scopus 로고    scopus 로고
    • Sensor fault detection using noise analysis
    • Ying, C.; Joseph, B. Sensor Fault Detection Using Noise Analysis, Ind. Eng. Chem. Res. 2002, 39, 396-407.
    • (2002) Ind. Eng. Chem. Res. , vol.39 , pp. 396-407
    • Ying, C.1    Joseph, B.2
  • 8
    • 3242693946 scopus 로고    scopus 로고
    • Fault detection, isolation, and distinguishing between sensor failures and disturbances
    • Biegler, L. T., Brambilla, A., Eds.; Elsevier Science: New York
    • Doymaz, F.; Romagnoli, J. A.; Palazoglu, A. Fault Detection, Isolation, and Distinguishing between Sensor Failures and Disturbances, In Proceedings of the IFAC ADCHEM Symposium; Biegler, L. T., Brambilla, A., Eds.; Elsevier Science: New York, 2000, pp 14-16.
    • (2000) Proceedings of the IFAC ADCHEM Symposium , pp. 14-16
    • Doymaz, F.1    Romagnoli, J.A.2    Palazoglu, A.3
  • 9
    • 0036532931 scopus 로고    scopus 로고
    • Structured residual vector-based approach to sensor fault detection and isolation
    • Li, W.; Shah, S. Structured residual vector-based approach to sensor fault detection and isolation. J. Process Control 2002, 12, 429-443.
    • (2002) J. Process Control , vol.12 , pp. 429-443
    • Li, W.1    Shah, S.2
  • 10
    • 1142309573 scopus 로고    scopus 로고
    • Sensor fault identification based on time-lagged PCA in dynamic processes
    • Lee, C.; Choi, S. W.; Lee, I.-B. Sensor Fault Identification based on Time-lagged PCA in Dynamic Processes. Chemom. Intell. Lab. Syst. 2004, 70, 165-178.
    • (2004) Chemom. Intell. Lab. Syst. , vol.70 , pp. 165-178
    • Lee, C.1    Choi, S.W.2    Lee, I.-B.3
  • 11
    • 85039505431 scopus 로고    scopus 로고
    • Sensor validation and reconstruction for building central chilling systems based on principal component analysis
    • in press
    • Wang, S.; Chen, Y. Sensor validation and reconstruction for building central chilling systems based on principal component analysis. Energy Convers. Manage., in press.
    • Energy Convers. Manage.
    • Wang, S.1    Chen, Y.2
  • 12
    • 0030296884 scopus 로고    scopus 로고
    • Missing data methods in PCA and PLS; Score calculations with incomplete observations
    • Nelson P. R. C.; Taylor, P. A.; MacGregor, J. F. Missing data methods in PCA and PLS; Score calculations with incomplete observations. Chemom. Intell. Lab. Syst. 1996, 35, 45-65.
    • (1996) Chemom. Intell. Lab. Syst. , vol.35 , pp. 45-65
    • Nelson, P.R.C.1    Taylor, P.A.2    MacGregor, J.F.3
  • 13
    • 0036685755 scopus 로고    scopus 로고
    • Dealing with missing data in MSPC: Several methods, different interpretations, some examples
    • Arteaga, F.; Ferrer, A. Dealing with missing data in MSPC: Several methods, different interpretations, some examples. J. Chemom. 2002, 16, 408-418.
    • (2002) J. Chemom. , vol.16 , pp. 408-418
    • Arteaga, F.1    Ferrer, A.2
  • 14
    • 0037006610 scopus 로고    scopus 로고
    • Principal component analysis of dissolution data with missing elements
    • Adams, E.; Walczak, B.; Vervaet, C.; Risha, P. G.; Massart, D. L. Principal component analysis of dissolution data with missing elements, Int. J. Pharm. 2002, 234, 169-178.
    • (2002) Int. J. Pharm. , vol.234 , pp. 169-178
    • Adams, E.1    Walczak, B.2    Vervaet, C.3    Risha, P.G.4    Massart, D.L.5
  • 15
    • 0032563620 scopus 로고    scopus 로고
    • Missing values in principal component analysis
    • Grung, B.; Manne, R. Missing values in principal component analysis. Chemom. Intell. Lab. Syst. 1998, 42, 125-139.
    • (1998) Chemom. Intell. Lab. Syst. , vol.42 , pp. 125-139
    • Grung, B.1    Manne, R.2
  • 20
    • 0037084628 scopus 로고    scopus 로고
    • Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem
    • Kano, M.; Nagao, K.; Hasebe, S.; Hashimoto, I.; Ohno, H.; Strauss, R.; Bakshi, B. R. Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem. Comput. Chem. Eng. 2002, 26, 161-174.
    • (2002) Comput. Chem. Eng. , vol.26 , pp. 161-174
    • Kano, M.1    Nagao, K.2    Hasebe, S.3    Hashimoto, I.4    Ohno, H.5    Strauss, R.6    Bakshi, B.R.7
  • 21
    • 0035427805 scopus 로고    scopus 로고
    • Fault diagnosis with multivariate statistical models part I: Using steady-state fault signatures
    • Yoon, S.; MacGregor, J. F. Fault diagnosis with multivariate statistical models part I: Using steady-state fault signatures. J. Process Control 2001, 11, 387-400.
    • (2001) J. Process Control , vol.11 , pp. 387-400
    • Yoon, S.1    MacGregor, J.F.2
  • 22
    • 0037425487 scopus 로고    scopus 로고
    • Overall statistical monitoring of static and dynamic patterns
    • Choi, S. W.; Yoo, C. K.; Lee, I.-B. Overall statistical monitoring of static and dynamic patterns. Ind. Eng. Chem. Res. 2003, 42, 108-117.
    • (2003) Ind. Eng. Chem. Res. , vol.42 , pp. 108-117
    • Choi, S.W.1    Yoo, C.K.2    Lee, I.-B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.