메뉴 건너뛰기




Volumn 45, Issue 15 PART 1, 2012, Pages 840-847

Data-driven design of model-based fault diagnosis systems

Author keywords

Data driven methods; Fault detection and diagnosis; Observer based methods; Parity space methods; Subspace identification methods

Indexed keywords

PROCESS CONTROL;

EID: 84867066911     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20120710-4-SG-2026.00105     Document Type: Conference Paper
Times cited : (34)

References (45)
  • 1
    • 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, 45:1593-1600, 2009.
    • (2009) Automatica , vol.45 , pp. 1593-1600
    • Alcala, C.F.1    Qin, S.J.2
  • 7
    • 79960922416 scopus 로고    scopus 로고
    • An approach to data-driven adaptive residual generator design and implementation
    • SAFEPROCESS
    • S. X. Ding, S. Yin, P. Zhang, E.L. Ding, and A. Naik. An approach to data-driven adaptive residual generator design and implementation. Proc. of IFAC Symp. SAFEPROCESS, 2009a.
    • (2009) Proc. of IFAC Symp.
    • Ding, S.X.1    Yin, S.2    Zhang, P.3    Ding, E.L.4    Naik, A.5
  • 8
    • 72149132838 scopus 로고    scopus 로고
    • Subspace method aided data-driven design of fault detection and isolation systems
    • S. X. Ding, P. Zhang, A. Naik, E.L. Ding, and B. Huang. Subspace method aided data-driven design of fault detection and isolation systems. Journal of Process Control, 19:1496-1510, 2009b.
    • (2009) Journal of Process Control , vol.19 , pp. 1496-1510
    • Ding, S.X.1    Zhang, P.2    Naik, A.3    Ding, E.L.4    Huang, B.5
  • 11
    • 0025447035 scopus 로고
    • Fault detection via factorization approach
    • X. Ding and P. M. Frank. Fault detection via factorization approach. Syst. and Contr. Letters, 14:431-436, 1990.
    • (1990) Syst. and Contr. Letters , vol.14 , pp. 431-436
    • Ding, X.1    Frank, P.M.2
  • 18
    • 77951880498 scopus 로고    scopus 로고
    • A survey of fault detection, isolation, and reconfiguration methods
    • I. Hwang, S. Kim, Y. Kim, and C.E. Seah. A survey of fault detection, isolation, and reconfiguration methods. IEEE Trans. Contr. Syst. Tech., 18:636-653, 2010.
    • (2010) IEEE Trans. Contr. Syst. Tech. , vol.18 , pp. 636-653
    • Hwang, I.1    Kim, S.2    Kim, Y.3    Seah, C.E.4
  • 22
    • 0035546347 scopus 로고    scopus 로고
    • Consistent dynamic PCA based on errors-in-variables subspace identification
    • W. Li and S. J. Qin. Consistent dynamic PCA based on errors-in-variables subspace identification. Journal of Process Control, 11:661-678, 2001.
    • (2001) Journal of Process Control , vol.11 , pp. 661-678
    • Li, W.1    Qin, S.J.2
  • 25
    • 77956464037 scopus 로고    scopus 로고
    • Robust detection and estimation in dynamic systems and statistical signal processing: Intersection, parallel paths and applications
    • R. Mangoubi, M. Desai, A. Edelmayer, and P. Sammak. Robust detection and estimation in dynamic systems and statistical signal processing: Intersection, parallel paths and applications. European journal of control, 15: 348-369, 2009.
    • (2009) European Journal of Control , vol.15 , pp. 348-369
    • Mangoubi, R.1    Desai, M.2    Edelmayer, A.3    Sammak, P.4
  • 26
    • 77955513371 scopus 로고    scopus 로고
    • Recursive identification algorithms to design fault detection systems
    • A. S. Naik, S. Yin, S. X. Ding, and P. Zhang. Recursive identification algorithms to design fault detection systems. Journal of process control, 20:957-965, 2010.
    • (2010) Journal of Process Control , vol.20 , pp. 957-965
    • Naik, A.S.1    Yin, S.2    Ding, S.X.3    Zhang, P.4
  • 28
    • 33747893411 scopus 로고    scopus 로고
    • An overview of subspace identification
    • S. J. Qin. An overview of subspace identification. Computers and Chemical Engineering, 30:1502-1513, 2006.
    • (2006) Computers and Chemical Engineering , vol.30 , pp. 1502-1513
    • Qin, S.J.1
  • 29
    • 0032044750 scopus 로고    scopus 로고
    • Recursive PLS algorithms for adaptive data modeling
    • S. J. Qin. Recursive PLS algorithms for adaptive data modeling. Computers chem. Eng., 22:503-514, 1998.
    • (1998) Computers Chem. Eng. , vol.22 , pp. 503-514
    • Qin, S.J.1
  • 30
    • 79960904943 scopus 로고    scopus 로고
    • Data-driven fault detection and diagnosis for complex industrial processes
    • S. J. Qin. Data-driven fault detection and diagnosis for complex industrial processes. Proc. of IFAC SAFEPROCESS Symp., pages 1115-1125, 2009.
    • (2009) Proc. of IFAC SAFEPROCESS Symp. , pp. 1115-1125
    • Qin, S.J.1
  • 31
    • 0001212550 scopus 로고    scopus 로고
    • Detection and identification of faulty sensors in dynamic processes
    • S. J. Qin and W. Li. Detection and identification of faulty sensors in dynamic processes. AIChE Journal, 47:1581- 1593, 2001.
    • (2001) AIChE Journal , vol.47 , pp. 1581-1593
    • Qin, S.J.1    Li, W.2
  • 32
    • 0242354134 scopus 로고    scopus 로고
    • Statistical process monitoring: Basics and beyond
    • S.J. Qin. Statistical process monitoring: Basics and beyond. Journal of Chemometrics, 17:480-502, 2003.
    • (2003) Journal of Chemometrics , vol.17 , pp. 480-502
    • Qin, S.J.1
  • 35
    • 40749117689 scopus 로고    scopus 로고
    • A continous stirred tank heater simulation model with applications
    • N. Thornhill, S. Patwardhan, and S. Shah. A continous stirred tank heater simulation model with applications. J. of Process contr., 18, 2008.
    • (2008) J. of Process Contr , vol.18
    • Thornhill, N.1    Patwardhan, S.2    Shah, S.3
  • 38
    • 0036778659 scopus 로고    scopus 로고
    • A new subspace identification approach based on principle component analysis
    • J. Wang and S. J. Qin. A new subspace identification approach based on principle component analysis. Journal of process control, 12:841-855, 2002.
    • (2002) Journal of Process Control , vol.12 , pp. 841-855
    • Wang, J.1    Qin, S.J.2
  • 39
    • 22944436794 scopus 로고    scopus 로고
    • Process monitoring approach using fast moving window PCA
    • X.Wang, U. Kruger, and G.W. Irwin. Process monitoring approach using fast moving window PCA. Ind. Eng. Chem. Res., 44:5691-5702, 2005.
    • (2005) Ind. Eng. Chem. Res. , vol.44 , pp. 5691-5702
    • Wang, X.1    Kruger, U.2    Irwin, G.W.3
  • 40
    • 80053624122 scopus 로고    scopus 로고
    • Subspace aided data-driven design of robust fault detection and isolation systems
    • Y. Wang, G. Ma, S. X. Ding, and C. Li. Subspace aided data-driven design of robust fault detection and isolation systems. Automatica, 47:2474-2480, 2011.
    • (2011) Automatica , vol.47 , pp. 2474-2480
    • Wang, Y.1    Ma, G.2    Ding, S.X.3    Li, C.4
  • 41
    • 47549099484 scopus 로고    scopus 로고
    • Multimode process monitoring with bayersian inference-based finite gaussian mixture models
    • J. Yu and S.J. Qin. Multimode process monitoring with bayersian inference-based finite gaussian mixture models. AICHe Journal, 54:1811-1829, 2008.
    • (2008) AICHe Journal , vol.54 , pp. 1811-1829
    • Yu, J.1    Qin, S.J.2
  • 42
    • 70349329819 scopus 로고    scopus 로고
    • Multiway gaussian mixture model based multiphase batch process monitoring
    • J. Yu and S.J. Qin. Multiway gaussian mixture model based multiphase batch process monitoring. Ind. Eng. Chem. Res., 48:8585-8594, 2009.
    • (2009) Ind. Eng. Chem. Res. , vol.48 , pp. 8585-8594
    • Yu, J.1    Qin, S.J.2
  • 43
    • 38749083084 scopus 로고    scopus 로고
    • On fault detection in linear discrete-time, periodic, and sampled-data systems (survey)
    • P. Zhang and S. X. Ding. On fault detection in linear discrete-time, periodic, and sampled-data systems (survey). Journal of control science and engineering, pages 1-18, 2008.
    • (2008) Journal of Control Science and Engineering , pp. 1-18
    • Zhang, P.1    Ding, S.X.2
  • 44
    • 0036493714 scopus 로고    scopus 로고
    • Adaptive observer for multiple-input-multipleoutput (MIMO) linear time-varying systems
    • Q. Zhang. Adaptive observer for multiple-input-multipleoutput (MIMO) linear time-varying systems. IEEE Trans. Autom. Contr., 47:525-529, 2002.
    • (2002) IEEE Trans. Autom. Contr. , vol.47 , pp. 525-529
    • Zhang, Q.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.