Methodes Statistiques De Detection De Rupture De Modele Application Au Traitement Du Signal Issu D Un Capteur A Courants De Foucault
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Automatic Control of Bioprocesses
Giving an overview of the challenges in the control of bioprocesses, this comprehensive book presents key results in various fields, including: dynamic modeling; dynamic properties of bioprocess models; software sensors designed for the on-line estimation of parameters and state variables; control and supervision of bioprocesses.
Issues of Fault Diagnosis for Dynamic Systems
Author: Ron J. Patton
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-06-29
Since the time our first book Fault Diagnosis in Dynamic Systems: The ory and Applications was published in 1989 by Prentice Hall, there has been a surge in interest in research and applications into reliable methods for diag nosing faults in complex systems. The first book sold more than 1,200 copies and has become the main text in fault diagnosis for dynamic systems. This book will follow on this excellent record by focusing on some of the advances in this subject, by introducing new concepts in research and new application topics. The work cannot provide an exhaustive discussion of all the recent research in fault diagnosis for dynamic systems, but nevertheless serves to sample some of the major issues. It has been valuable once again to have the co-operation of experts throughout the world working in industry, gov emment establishments and academic institutions in writing the individual chapters. Sometimes dynamical systems have associated numerical models available in state space or in frequency domain format. When model infor mation is available, the quantitative model-based approach to fault diagnosis can be taken, using the mathematical model to generate analytically redun dant alternatives to the measured signals. When this approach is used, it becomes important to try to understand the limitations of the mathematical models i. e. , the extent to which model parameter variations occur and the effect of changing the systems point of operation.
METHODES STATISTIQUES DE DETECTION DE RUPTURE DE MODELE. APPLICATION AU TRAITEMENT DU SIGNAL ISSU D'UN CAPTEUR A COURANTS DE FOUCAULT
LA PREMIERE PARTIE DU MEMOIRE EST CONSACREE A L'ETUDE DE METHODES STATISTIQUES DE DETECTION DE RUPTURE DE MODELE. NOUS NOUS INTERESSONS NOTAMMENT A LA DETECTION DE SAUTS DE MOYENNE DANS DES SEQUENCES GAUSSIENNES ET NOUS ETUDIONS LES TESTS ISSUS DE L'APPROCHE ASYMPTOTIQUE LOCALE POUR LA DETECTION DE RUPTURE DANS LES MODELES AR ET ARMA. NOUS PRESENTONS ALORS DEUX APPROCHES POUR LA CONSTRUCTION DE TESTS LOCAUX ROBUSTES. LA DEUXIEME PARTIE PRESENTE DEUX APPLICATIONS DES TECHNIQUES PRECEDENTES AU TRAITEMENT DU SIGNAL ISSU D'UN CAPTEUR A COURANTS DE FOUCAULT. LA PREMIERE CONCERNE LA DETECTION-RECONNAISSANCE DE DEFAUTS DE SOUDAGE SUR TUBES. LA SECONDE MONTRE L'APPLICATION DES TESTS LOCAUX A LA SURVEILLANCE DU CAPTEUR A COURANTS DE FOUCAULT