Mes travaux de recherche sont menes au Centre de Recherche en Automatique de Nancy (CRAN), dans l... more Mes travaux de recherche sont menes au Centre de Recherche en Automatique de Nancy (CRAN), dans le departement Ingenierie des Systemes Eco-Techniques (ISET) sous la responsabilite de B. Iung et de A. Thomas et le departement Controle - Identification - Diagnostic (CID) sous la responsabilite de D. Maquin et de G. Millerioux. L’objectif principal de mes recherches est de formaliser des methodes de construction de modeles probabilistes representant les bons fonctionnements et les dysfonctionnements d’un systeme industriel. Ces modeles ont pour but de permettre l’evaluation des objectifs de fonctionnement du systeme (exigences operationnelles, performances) et les consequences en termes de fiabilite et de maitrise des risques (exigences de surete). Ceci necessite de modeliser les impacts de l’environnement sur le systeme et sur ses performances, mais aussi l’impact des strategies de commande et des strategies de maintenance sur l’etat de sante du systeme. Pour plus de details. A traver...
The prospective work reported here explores a new methodology to develop Dynamic Bayesian Network... more The prospective work reported here explores a new methodology to develop Dynamic Bayesian Network-based Availability and prognosis for manufacturing processes. This work is justified with the complex systems by the need of controlling and maintaining in dynamical way the global system performances in order to optimise the maintenance strategies. The added value of our methodology is to formalise the dynamic models by means of Dynamic Bayesian Networks (DBNs). The feasibility of this methodology is tested in a simple case of the system availability estimation comparing DBN model with the classical Markov chain model.
On line parameter estimation reflects the process state, but physical parameters are not usually ... more On line parameter estimation reflects the process state, but physical parameters are not usually easily estimated in the case of complex systems. This paper presents a sensor or actuator fault detection method based on a classical transfer function parameter estimation algorithm in discrete time domain. Redundant discrete time transfer functions are used to improve the residual generation. The increase of information by redundant equations allows the generation of a signature table. The exploitation of this table, achieved by a distance computation, allows the fault detection and isolation (FDI)
The degradation checking of critical components is one of the efficient means to minimize the non... more The degradation checking of critical components is one of the efficient means to minimize the non expected stops of production system and to reduce its costs. In this purpose, a methodology is proposed to design a prognosis process taking into account the behaviour of environmental events (exogenous inputs). The main contribution is the development of the probabilistic model which is based on the translation of a preliminary process model into Dynamic Bayesian Network (DBN). Specifications are given to assure the coherence both of the translation and the resulted model. These requirements are formalized according to the NIAM/ORM method towards its semantic strength, clarity and stability. An application is proposed on a water heater system.
Mes travaux de recherche sont menes au Centre de Recherche en Automatique de Nancy (CRAN), dans l... more Mes travaux de recherche sont menes au Centre de Recherche en Automatique de Nancy (CRAN), dans le departement Ingenierie des Systemes Eco-Techniques (ISET) sous la responsabilite de B. Iung et de A. Thomas et le departement Controle - Identification - Diagnostic (CID) sous la responsabilite de D. Maquin et de G. Millerioux. L’objectif principal de mes recherches est de formaliser des methodes de construction de modeles probabilistes representant les bons fonctionnements et les dysfonctionnements d’un systeme industriel. Ces modeles ont pour but de permettre l’evaluation des objectifs de fonctionnement du systeme (exigences operationnelles, performances) et les consequences en termes de fiabilite et de maitrise des risques (exigences de surete). Ceci necessite de modeliser les impacts de l’environnement sur le systeme et sur ses performances, mais aussi l’impact des strategies de commande et des strategies de maintenance sur l’etat de sante du systeme. Pour plus de details. A traver...
The prospective work reported here explores a new methodology to develop Dynamic Bayesian Network... more The prospective work reported here explores a new methodology to develop Dynamic Bayesian Network-based Availability and prognosis for manufacturing processes. This work is justified with the complex systems by the need of controlling and maintaining in dynamical way the global system performances in order to optimise the maintenance strategies. The added value of our methodology is to formalise the dynamic models by means of Dynamic Bayesian Networks (DBNs). The feasibility of this methodology is tested in a simple case of the system availability estimation comparing DBN model with the classical Markov chain model.
On line parameter estimation reflects the process state, but physical parameters are not usually ... more On line parameter estimation reflects the process state, but physical parameters are not usually easily estimated in the case of complex systems. This paper presents a sensor or actuator fault detection method based on a classical transfer function parameter estimation algorithm in discrete time domain. Redundant discrete time transfer functions are used to improve the residual generation. The increase of information by redundant equations allows the generation of a signature table. The exploitation of this table, achieved by a distance computation, allows the fault detection and isolation (FDI)
The degradation checking of critical components is one of the efficient means to minimize the non... more The degradation checking of critical components is one of the efficient means to minimize the non expected stops of production system and to reduce its costs. In this purpose, a methodology is proposed to design a prognosis process taking into account the behaviour of environmental events (exogenous inputs). The main contribution is the development of the probabilistic model which is based on the translation of a preliminary process model into Dynamic Bayesian Network (DBN). Specifications are given to assure the coherence both of the translation and the resulted model. These requirements are formalized according to the NIAM/ORM method towards its semantic strength, clarity and stability. An application is proposed on a water heater system.
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Papers by Philippe Weber