J. Montmain

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Oleg Yu Vorobyev

Siberian Federal University

Joaquim Jorge

Universidade de Lisboa

Marc Champagne

Kwantlen Polytechnic University

David Seamon

Kansas State University

Remo Caponi

University of Cologne

Gilbert-Rainer Gillich

Universitatea Eftimie Murgu

Sunday Oyedepo

Covenant University Canaanland, Ota.

Mikail F Lumentut

National Taiwan University

Ezzeddine Ftoutou

ENIM : National Engineering School of Monastir - TUNISIE

Giovanni Gardin

IRCCS AOU San Martino-IST Genova

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Papers by J. Montmain

Operation support for alarm filtering

In this paper, the limitations in present monitoring and alarm systems are presented first. Then,... more In this paper, the limitations in present monitoring and alarm systems are presented first. Then, the value of fuzzy reasoning in avoiding some problems due to thresholding is studied. Decision making with fuzzy aggregation is proposed as a solution. Further, the value of causal reasoning in avoiding some problems due to long alarm sequences is analysed. These ideas are illustrated by an application to a complex nuclear retreatment plant.

Diapason : un systeme d'aide a la supervision des procedes continus

Available at INIST (FR), Document Supply Service, under shelf-number : RM 1054 / INIST-CNRS - Ins... more

Dynamic Model and Causal Knowledge-Based Fault Detection and Isolation

IFAC Proceedings Volumes, 1997

Abstract In this work, the use of a numerical simulator and of a bank of local linear models as a... more Abstract In this work, the use of a numerical simulator and of a bank of local linear models as approximations of the numerical simulator behaviour is proposed for fault detection and isolation. As the simulator computes the behaviour of numerous physical variables, a causal analysis is undertaken to relate locally a variable to its nearest physical antecedents. The local models are fed with measurements, thereby allowing their output to be predicted. The comparison between measured, computed and predicted outputs is the basis of the isolation reasoning.

User-friendly optimal improvement of an overall industrial performance based on a fuzzy Choquet integral aggregation

2007 IEEE International Fuzzy Systems Conference, 2007

Abstract-The design and use of Performance Measurement Systems (PMS&#x27;s) for industrial im... more Abstract-The design and use of Performance Measurement Systems (PMS&#x27;s) for industrial improvement and control have received considerable attention in recent years. Indeed, industrial performances are now defined in terms of numerous and multi-level criteria to be synthesized for overall ...

The semantic measures library and toolkit: fast computation of semantic similarity and relatedness using biomedical ontologies

Bioinformatics, 2013

The semantic measures library and toolkit are robust open-source and easy to use software solutio... more The semantic measures library and toolkit are robust open-source and easy to use software solutions dedicated to semantic measures. They can be used for large-scale computations and analyses of semantic similarities between terms/concepts defined in terminologies and ontologies. The comparison of entities (e.g. genes) annotated by concepts is also supported. A large collection of measures is available. Not limited to a specific application context, the library and the toolkit can be used with various controlled vocabularies and ontology specifications (e.g. Open Biomedical Ontology, Resource Description Framework). The project targets both designers and practitioners of semantic measures providing a JAVA library, as well as a command-line tool that can be used on personal computers or computer clusters.

J. Montmain

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