The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Recursive PCA for adaptive process monitoring
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Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
The Scree Test For The Number Of Factors
Cattell, R. B. (1966) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr0102_10 · Cited by 13,554
Modeling by shortest data description
Rissanen, J. (1978) · Automatica · doi:10.1016/0005-1098(78)90005-5 · Cited by 6,011
Detection of signals by information theoretic criteria
Wax, M., & Kailath, T. (1985) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1985.1164557 · Cited by 3,426
A User's Guide to Principal Components
Leigh, S., & Jackson, J. E. (1993) · Technometrics · doi:10.2307/1269292 · Cited by 3,332
The Symmetric Eigenvalue Problem
Parlett, B. N. (1998) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611971163 · Cited by 3,192
Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models
Wold, S. (1978) · Technometrics · doi:10.1080/00401706.1978.10489693 · Cited by 2,601
Blackwood, L. G., & Malinowski, E. R. (1994) · Technometrics · doi:10.2307/1269209 · Cited by 2,210
(1992) · Analytica Chimica Acta · doi:10.1016/0003-2670(92)85390-r · Cited by 1,550
Multivariate SPC Charts for Monitoring Batch Processes
Nomikos, P., & MacGregor, J. F. (1995) · Technometrics · doi:10.1080/00401706.1995.10485888 · Cited by 1,422
Cited by
A review of process fault detection and diagnosis
Venkatasubramanian, V., Rengaswamy, R., Yin, K., & Kavuri, S. N. (2003) · Computers & Chemical Engineering · doi:10.1016/s0098-1354(02)00160-6 · Cited by 2,723
Data-driven Soft Sensors in the process industry
Kadlec, P., Gabrys, B., & Strandt, S. (2009) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2008.12.012 · Cited by 1,845
Statistical process monitoring with independent component analysis
Lee, J.-M., Yoo, C., & Lee, I.-B. (2004) · Journal of Process Control · doi:10.1016/j.jprocont.2003.09.004 · Cited by 746
Review of adaptation mechanisms for data-driven soft sensors
Kadlec, P., Grbić, R., & Gabrys, B. (2011) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2010.07.034 · Cited by 517
Structural Health Monitoring Damage Detection Systems for Aerospace
(2021) · Springer Aerospace Technology · doi:10.1007/978-3-030-72192-3 · Cited by 92
Metadata
- Authors
- Li, W., Yue, H. H., Valle-Cervantes, S., & Qin, S. J.
- Venue
- Journal of Process Control
- Publisher
- Elsevier BV
- Published
- 2000-10
- Volume
- 10
- Issue
- 5
- Pages
- 471-486
- ISSN
- 0959-1524 (ISSN-L)
- OpenAlex
- W2003516238
- Cited by
- 848
- References
- 25
- FWCI
- 20.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Li, W., Yue, H. H., Valle-Cervantes, S., & Qin, S. J. (2000). Recursive PCA for adaptive process monitoring. Journal of Process Control. https://doi.org/10.1016/s0959-1524(00)00022-6
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
