Non-linear principal components analysis for process fault detection

Computers and Chemical Engineering

Volumn 22, Issue SUPPL.1, 1998, Pages

  Jia, F ^a   Martin, E B ^a   Morris, A J ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

Fault Detection; Multivariate Statistical Process Control; Non linear principal components analysis

Indexed keywords

EID: 0000588327     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0098-1354(98)00164-1     Document Type: Article

References (8)

1. Dong, D. and McAvoy, T. J. (1994). Proceedings ACC, Baltimore, USA, 1284.
2. Hastie, T. J. and Stuetzle, W. (1989), J. American Statistical Association, 85, 502.
3. Jia, F., Martin, E.B. and Morris, A. J. (1997), submitted to Computers and Chemical Engineering.
4. Jackson, J.E. and Mudholkar, G.S., (1979), Technometrics, 21(3).
5. Martin, E. B. and Morris, A. J. (1996). J. Process Control, 6 (6), 349.
6. th Annual Fall Conf. ASQC, Rochester, NY.
7. Simoglou, A., Martin, E. B., Morris, A. J., Wood, M. and Jones, G. C. (1997), IFAC,. SAFEPROCESS'97, Hull, UK..
8. Tan, S. and Mavrovouniotis, M. L. (1995), AICHE Journal, 41(6), 1471.