Ao, Yunjin Laghrouche, Salah Depernet, Daniel Candusso, Denis
A novel diagnosis approach for proton exchange membrane fuel cell (PEMFC) systems is proposed in this paper. Different fault conditions can be classified based on the patterns of stack voltage fluctuation, which can be extracted by the autoregressive model (AR model). The proposed method focuses on the stack voltage fluctuation over time, thus it i...
Christofi, Nikolena Pucel, Xavier
The operation of industrial systems can involve complex procedures that must be applied within narrow time constraints –in particular when dealing with faults. The use of formal models can help the design of these procedures and their validation, thus to assist operators. We propose to introduce a new type of Operations Dedicated Model (ODM) in the...
Marie Victoire, Elisabeth Bouteiller, Véronique Bouichou, Myriam Rakarabo, Mirah da Silva, Victor Bonnet, Amandine Adelaide, Lucas Turcry, Philippe Barthelemy, Pauline Mai-Nhu, Jonathan
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Concrete Solutions 2022 - the 8th International Conference on Concrete Repair, Durability and Concrete Technology, Leeds, ROYAUME-UNI, 11-/07/2022 - 13/07/2022
Benouioua, Djedjiga Candusso, Denis Harel, Fabien Picard, Pierre
Le travail réalisé vise à diagnostiquer des piles à combustible avec une instrumentation et des temps de calculs réduits. L'article décrit un outil de diagnostic non-intrusif, basé sur la seule mesure de la tension du stack et ne nécessitant pas d'excitation externe spécifique du générateur électrochimique. La méthode repose sur des techniques d'an...
Pucel, Xavier Roussel, Stéphanie Travé-Massuyès, Louise Bouziat, Valentin
In autonomous systems, planning and decision making rely on the estimation of the system state across time, i.e. state tracking. In this work, a preference model is used to provide non ambiguous estimates at each time point. However, this strategy can lead to dead-ends. Our goal is to anticipate dead-ends at design time and to blame root cause pref...
Zhang, Qinghua
Dynamic system fault diagnosis is often faced with a large number of possible faults. The purpose of this paper is to propose an efficient method for such situations. To avoid intractable combinatorial problems, sparse estimation techniques appear to be a powerful tool for isolating faults, under the assumption that only a small number of possible ...
Godart, Bruno Gaillet, Laurent Van Schoors, Laetitia LABOURIE, Laurent Germain, Didier Vaurigaud, Bastien
IABSE Congress 2020, Resilient Technologies for Sustainable Infrastructures , Christchurch, NOUVELLE-ZELANDE, 03-/02/2021 - 05/02/2021
GODART, Bruno GAILLET, Laurent VAN SCHOORS, Laetitia LABOURIE, Laurent GERMAIN, Didier VAURIGAUD, Bastien
The article describes recent cases of tendon ruptures by corrosion and investigations carried out on some bridges. Several causes related to HDPE ducts have been identified as damages during handling, degradation during threading and tensioning of strands, defective connection of the duct to the anchor body, damage during construction or operation,...
CHOUCHANE, Amira
In this article, a diagnosis approach for partially observed labelled Petri nets is developed based on building a set of analytical redundancy relationships on a progressive horizon. A nominal model is used for fault detection based on a set of relationships linking the known data of the nominal behaviour. A fault model is used for fault isolation ...
BOUSSIF, Abderraouf GHAZEL, Mohamed Klai, Kais
In this paper, we present a diagnoser-based approach to deal with fault diagnosis of bounded labeled Petri nets. The approach consists in building a semi-symbolic diagnoser to analyze diagnosability and perform online diagnosis. The contribution of this paper is twofold: (i) from the theoretical point of view, we provide new conditions for checking...