Incipient fault diagnosis of chemical processes via artificial neural networks
- Author
- WATANABE, K1 ; MATSUURA, I; ABE, M; KUBOTA, M; HIMMELBLAU, D. M
[1] Hosei univ., dep. instrument control eng., Tokyo 184, Japan - Source
AIChE journal. 1989, Vol 35, Num 11, pp 1803-1812 ; ref : 19 ref
- CODEN
- AICEAC
- ISSN
- 0001-1541
- Scientific domain
- Chemical engineering
- Publisher
- Wiley Subscription Services, Hoboken, NJ
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Assistance ordinateur Diagnostic panne Génie chimique Procédé Réacteur Régime permanent Régulateur PI Réseau neuronal Simulation
- Keyword (en)
- Computer aid Fault diagnostic Chemical engineering Operating process Reactor Steady state Integral proportional regulator Neural network Simulation
- Keyword (es)
- Asistencia ordenador Diagnóstico pana Ingeniería química Procedimiento Reactor Régimen permanente Regulador PI Red neuronal Simulación
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D07 Chemical engineering / 001D07X Miscellaneous
- Discipline
- Chemical engineering
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 6615251
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1002/aic.690351106 
https://dx.doi.org/10.1002/aic.690351106
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