The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Survey on data-driven industrial process monitoring and diagnosis
Overview
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Claims the paper makes
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Citations
Cites
SIMPLS: An alternative approach to partial least squares regression
de Jong, S. (1993) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/0169-7439(93)85002-x · Cited by 1,905 · cited 1×
“…can be represented in terms of the original data X as T ¼ XR ð14Þ where R = W(PTW) 1 from Hoskuldsson (1988), leading to the following relation (de Jong, 1993), PT R ¼ RT P ¼ Il ð15Þ To calculate the model estimate and residual on a new data sample x, the PLS model induces an oblique…”
Background
Cited by
Data Mining and Analytics in the Process Industry: The Role of Machine Learning
Ge, Z., Song, Z., Ding, S. X., & Huang, B. (2017) · IEEE Access · doi:10.1109/access.2017.2756872 · Cited by 922
Improved PLS Focused on Key-Performance-Indicator-Related Fault Diagnosis
Yin, S., Zhu, X., & Kaynak, O. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2345331 · Cited by 537
Advances and opportunities in machine learning for process data analytics
Qin, S. J., & Chiang, L. H. (2019) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2019.04.003 · Cited by 351
Self-citationBadihi, H., Zhang, Y., Jiang, B., Pillay, P., & Rakheja, S. (2022) · Proceedings of the IEEE · doi:10.1109/jproc.2022.3171691 · Cited by 319
Zhu, J., Ge, Z., Song, Z., & Gao, F. (2018) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2018.09.003 · Cited by 308
Metadata
- Authors
- Qin, S. J.
- Venue
- Annual Reviews in Control
- Publisher
- Elsevier BV
- Published
- 2012-12
- Volume
- 36
- Issue
- 2
- Pages
- 220-234
- ISSN
- 1367-5788 (ISSN-L)
- OpenAlex
- W1966863755
- Cited by
- 1,470
- References
- 1
- FWCI
- 75.11
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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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.
