DOI: 10.1021/ie901975c. Unsupervised Process Fault Detection with Random Forests

Unsupervised Process Fault Detection with Random Forests

10.1021/ie901975c

Crossref journal-article

American Chemical Society (ACS)

Industrial & Engineering Chemistry Research (316)

Bibliography

Auret, L., & Aldrich, C. (2010). Unsupervised Process Fault Detection with Random Forests. Industrial & Engineering Chemistry Research, 49(19), 9184â9194.

Authors 2

Lidia Auret (first)
Chris Aldrich (additional)

References 20 Referenced 31

10.1016/0967-0661(95)00014-L / Control Eng. Pract. by MacGregor J. F. (1995)
10.1016/0169-7439(93)E0075-F / Chemom. Intellig. Lab. Syst. by Wold S. (1994)
10.1016/0169-7439(95)00076-3 / Chemom. Intellig. Lab. Syst. by Ku W. (1995)
10.1016/j.chemolab.2003.10.011 / Chemom. Intellig. Lab. Syst. by Lee C. (2004)
10.1007/s12206-008-0603-6 / J. Mech. Sci. Technol. by Yang B. (2008)
10.1109/ICSEng.2008.81 / Systems Engineering 2008. ICSENG 08. 19th International Conference on by Maragoudakis M. (2008)
10.1023/A:1010933404324 / Mach. Learn. by Breiman L. (2001)
{'key': 'ref8/cit8', 'volume-title': 'Classification and Regression Trees', 'author': 'Breiman L.', 'year': '1983'} / Classification and Regression Trees by Breiman L. (1983)
{'key': 'ref9/cit9', 'volume-title': 'Manual—Setting up, Using, and Understanding Random Forests v4.0', 'author': 'Breiman L.', 'year': '2008'} / Manual—Setting up, Using, and Understanding Random Forests v4.0 by Breiman L. (2008)
{'key': 'ref10/cit10', 'volume-title': 'Multidimensional Scaling', 'author': 'Cox T. F.', 'year': '2001'} / Multidimensional Scaling by Cox T. F. (2001)
{'key': 'ref11/cit11', 'volume-title': 'The Elements of Statistical Learning—Data Mining, Inference and Prediction', 'author': 'Hastie T.', 'year': '2009'} / The Elements of Statistical Learning—Data Mining, Inference and Prediction by Hastie T. (2009)
10.1198/106186006X94072 / J. Comput. Graph. Stat. by Shi T. (2006)
10.1016/j.mineng.2006.05.006 / Min. Eng. by Jemwa G. T. (2006)
{'key': 'ref14/cit14', 'volume-title': 'A Practical Guide to Support Vector Machine Classification', 'author': 'Hsu C.-W.', 'year': '2003'} / A Practical Guide to Support Vector Machine Classification by Hsu C.-W. (2003)
{'key': 'ref15/cit15', 'volume-title': 'Algorithms for Manifold Learning', 'author': 'Cayton L.', 'year': '2005'} / Algorithms for Manifold Learning by Cayton L. (2005)
{'key': 'ref16/cit16', 'volume-title': 'A Review of Dimension Reduction Techniques', 'author': 'Carreira-Perpinan M. A.', 'year': '1997'} / A Review of Dimension Reduction Techniques by Carreira-Perpinan M. A. (1997)
10.1002/aic.690370209 / AIChE J. by Kramer M. A. (1991)
10.1007/978-1-4471-0409-4 / Data-Driven Methods for Fault Detection and Diagnosis in Chemical Processes by Russell E. L. (2000)
10.1016/0098-1354(93)80018-I / Comput. Chem. Eng. by Downs J. J. (1993)
10.1002/aic.11617 / AIChE J. by Zhang Y. (2008)

Dates

Type	When
Created	15 years ago (Aug. 20, 2010, 2:13 p.m.)
Deposited	2 years, 4 months ago (April 7, 2023, 9:01 a.m.)
Indexed	4 weeks, 1 day ago (Aug. 7, 2025, 4:23 p.m.)
Issued	15 years ago (Aug. 20, 2010)
Published	15 years ago (Aug. 20, 2010)
Published Online	15 years ago (Aug. 20, 2010)
Published Print	14 years, 11 months ago (Oct. 6, 2010)

Funders 0

None

BibTeX

@article{Auret_2010, title={Unsupervised Process Fault Detection with Random Forests}, volume={49}, ISSN={1520-5045}, url={http://dx.doi.org/10.1021/ie901975c}, DOI={10.1021/ie901975c}, number={19}, journal={Industrial & Engineering Chemistry Research}, publisher={American Chemical Society (ACS)}, author={Auret, Lidia and Aldrich, Chris}, year={2010}, month=aug, pages={9184–9194} }

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