Title :
Emergent Decision Reports Using a Fusion Protocol: A Mathematic Solution to Help Decision Making
Author :
Lacaille, Jerome
Author_Institution :
Tech. Div., Snecma (SAFRAN Group), Moissy-Cramayel, France
Abstract :
For manufacturers either monitoring or production optimization systems are founded on specific algorithms that produce low level local information about risk of degradation or production loss. In either case local results are combined in synthetic reports aimed to help decision taking at higher level. This work is about the description of an automatic fusion mechanism to translate expert knowledge in a set of adaptive rules. An application was built and tested in a semiconductor fab. The same methodology is currently deployed for condition Based maintenance of aircraft engines. This document sketches out some mathematical notations, the second part describes the semiconductor application and the conclusion is dedicated to the transfer in the aeronautic domain for the highest level of an engine fleet health monitoring system.
Keywords :
aerospace engines; aircraft maintenance; condition monitoring; decision making; manufacturing data processing; mechanical engineering computing; optimisation; protocols; risk analysis; semiconductor industry; sensor fusion; adaptive rule; aircraft engine; automatic fusion mechanism; condition based maintenance; decision making; decision report; engine fleet health monitoring system; expert knowledge translation; fusion protocol; mathematical notation; production loss; production optimization system; risk analysis; semiconductor application; semiconductor fabrication; Algorithm design and analysis; Engines; Monitoring; Production; Semiconductor device measurement; Sociology; Statistics; decision; fusion; health-monitoring;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
DOI :
10.1109/IHMSC.2013.130