Overview
ABSTRACT
The diagnosis of systems responds to the strong demands of industrialists. A defect must be detected, its source localized and its cause identified in order to ensure the continuity, stability and safety of the process. This article reviews the diagnosis methods of complex multiphysical systems based or not on analytic models. The various diagnostic strategies are presented and their implementation detailed. An example is dealt with in order to apply some of these methods on a complex system: a fuel cell.
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Read the articleAUTHORS
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Andres HERNANDEZ : PhD-Engineer, Alstom Power Control Systems
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Daniel HISSEL : University Professor, University of Franche-Comté
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Rachid OUTBIB : University Professor, University of Aix-Marseille
INTRODUCTION
In today's increasingly competitive business environment, reducing production costs and increasing the reliability, availability and dependability of systems have become essential to boosting the productivity of industrial processes. In this context, automation plays a key role. Indeed, the establishment of models enabling the application of optimization techniques to satisfy production criteria falls directly within this field.
In addition, the application of diagnostic techniques to provide the necessary information to enable intervention on the system, in the event of the appearance of abnormal operation, which could compromise the system's reliability, safety or performance, is also an indispensable task on the road to increased competitiveness.
This dossier looks at the application of a complex system: PEMFC (Polymer Electrolyte Membrane Fuel Cell) fuel cells.
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Diagnosis methods of multiphysical systems
System diagnostics
Bibliography
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