Laboratoire d’Analyse et d’Architecture des Systèmes
C.ISAZA NARVAEZ, A.ORANTES, T.KEMPOWSKY, M.V.LE LANN
UTM, Mexico, DISCO, UDEA
Manifestation avec acte : SAFE PROCESS, Barcelone (Espagne), 30 Juin - 3 Juillet 2009, 6p. , N° 08692
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The diagnosis of processes can be defined as the identification of their functional states. When a mathematical model is difficult or not possible to obtain (which is generally the case for complex chemical processes), knowledge on the process behaviour can be extracted from historical measurements or complex simulators. This knowledge is then organized as a partition of the data set into classes representing the functional states of the process (normal or faulty operations). Among the data mining techniques, those including fuzzy logic present the advantages to express the data membership degree to several classes. This article presents a methodology that automatically finds an optimal space partition in terms of clusters compactness and separation using only the membership matrix obtained from a fuzzy classification. Test and validation results of this methodology applied to a continuous intensified chemical micro-reactor will be presented.
N.OLIVIER-MAGET, G.HETREUX, J.M.LE LANN, M.V.LE LANN
LGC, DISCO
Manifestation avec acte : SAFE PROCESS 2009, Barcelone (Espagne), 30 Juin - 3 Juillet 2009, 6p. , N° 09312
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117893L.HEDJAZI, T.KEMPOWSKY, M.V.LE LANN
DISCO
Rapport LAAS N°09214, Mai 2009, 12p.
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H.HERNANDEZ DE LEON, M.PEREZ PATRICIO, J.CAMAS, R.MOTA GRAJALES, N.JUAREZ, M.V.LE LANN
ITTG, DISCO
Manifestation avec acte : Core 2009, Mexico City (Mexique), 27-29 Mai 2009, 12p. , N° 09313
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117895T.KEMPOWSKY, M.V.LE LANN
DISCO
Rapport de Contrat : INPAC. projet Minefi/Simap. Convention n° 072906304, Mars 2009 , N° 08800
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117028H.HERNANDEZ DE LEON, R.MOTA GRAJALES, M.PEREZ PATRICIO, M.V.LE LANN
DISCO, ITTG
Manifestation avec acte : XXX Congreso Internacional de Ingeneria Electronica (ELECTRO 2008), Chihuahua (Mexique), 29-31 Octobre 2008, 6p. , N° 08833
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117902N.OLIVIER-MAGET, G.HETREUX, J.M.LE LANN, M.V.LE LANN
LGC, ENSIGC-LGC, DISCO
Revue Scientifique : Chemical Engineering and Processing, Vol.47, N°11, pp.1942-1952, Octobre 2008 , N° 07307
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The complexity and the size of the industrial chemical processes induce the monitoring of a growing number of process variables. Their knowledge is generally based on the measurements of system variables and on the physico-chemical models of the process. Nevertheless this information is imprecise because of process and measurement noise. So the research ways aim at developing new and more powerful techniques for the detection of process fault. In this work, we present a method for the fault detection based on the comparison between the real system and the reference model evolution generated by the extended Kalman filter. The reference model is simulated by the dynamic hybrid simulator, PrODHyS. It is a general object-oriented environment which provides common and reusable components designed for the development and the management of dynamic simulation of industrial systems. The use of this method is illustrated through a didactic example relating to the field of Chemical Process System Engineering.
N.OLIVIER-MAGET, G.HETREUX, J.M.LE LANN, M.V.LE LANN
ENSIGC-LGC, DISCO, LGC
Manifestation avec acte : 18th European Symposium on Computer Aided Process Engineering (ESCAPE 2008), Lyon (France), 1-4 Juin 2008, 6p. , N° 08205
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C.ISAZA NARVAEZ, M.V.LE LANN, J.AGUILAR MARTIN
DISCO
Manifestation avec acte : 18th European Symposium on Computer Aided Process Engineering (ESCAPE 2008), Lyon (France), 1-4 Juin 2008, 6p. , N° 08201
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A.MOKHTARI, M.V.LE LANN, G.HETREUX, J.M.LE LANN
DISCO, LGC, ENSIGC-LGC
Manifestation avec acte : 18th European Symposium on Computer Aided Process Engineering (ESCAPE 2008), Lyon (France), 1-4 Juin 2008, 6p. , N° 08202
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