Effective maintenance by reducing failurecause misdiagnosis in semiconductor industry (si), 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01165122
Effect of press cycle time and resin content on physical and mechanical properties of particleboard panels made from the underutilized low-quality raw materials, Industrial Crops and Products, vol.28, issue.2, pp.225-230, 2008. ,
DOI : 10.1016/j.indcrop.2008.02.015
Dependability of complex semiconductor systems: Learning Bayesian networks for decision support, 2011 3rd International Workshop on Dependable Control of Discrete Systems, pp.7-12, 2011. ,
DOI : 10.1109/DCDS.2011.5970310
URL : https://hal.archives-ouvertes.fr/hal-00683047
Human error risk management for engineering systems: a methodology for design, safety assessment, accident investigation and training, Reliability Engineering & System Safety, vol.83, issue.2, pp.229-240, 2004. ,
DOI : 10.1016/j.ress.2003.09.013
Real-time health prognosis and dynamic preventive maintenance policy for equipment under aging Markovian deterioration, International Journal of Production Research, vol.96, issue.1, pp.3351-3379, 2007. ,
DOI : 10.1002/1520-6750(198908)36:4<419::AID-NAV3220360407>3.0.CO;2-5
Confidence estimation of feedback information for logicdiagnosis, Engineering Applications of Artificial Intelligence, vol.26, issue.3, pp.1149-1161, 2013. ,
DOI : 10.1016/j.engappai.2012.08.008
Verification of recipe-based control procedures by means of predicate/transition nets, Application and theory of petri nets, pp.278-297, 1994. ,
DOI : 10.1007/3-540-58152-9_16
Techniques de productivité: Comment gagner des points de performance-pour les managers et les encadrants, 2011. ,
Politiques de maintenance equipment en flux de production stressantequipment maintenance policy in stressed manufacturing flow (technology or product) Edition TI, 2013. ,
Non-intrusive real time human fatigue modelling and monitoring, Proceedings of the human factors and ergonomics society annual meeting, pp.311-315, 2003. ,
Developing and implementing a fatigue risk management system, 2007. ,
Manufacturing execution systems (mes): Optimal design, planning, and deployment: Optimal design, planning, and deployment, 2009. ,
Fault diagnosis for the complex manufacturing system, Proceedings of the Institution of Mechanical Engineers, pp.1748006-15623089, 2016. ,
DOI : 10.1177/1748006X15623089
URL : https://hal.archives-ouvertes.fr/hal-01294931
A Comparison of HMMs and Dynamic Bayesian Networks for Recognizing Office Activities, User modeling 2005, pp.199-209, 2005. ,
DOI : 10.1007/11527886_26
On the use of SysML for manufacturing execution system design, ETFA2011, pp.1-8, 2011. ,
DOI : 10.1109/ETFA.2011.6058984
Experts??? knowledge renewal and maintenance actions effectiveness in high-mix low-volume industries, using Bayesian approach, Cognition, Technology & Work, vol.55, issue.1, pp.193-213, 2016. ,
DOI : 10.1007/s10111-015-0354-y
URL : https://hal.archives-ouvertes.fr/hal-01201796
Measurements of the level of surgical expertise using flight path analysis from da vinci robotic surgical system, Medicine Meets Virtual Reality, vol.11, issue.94, p.373, 2003. ,
Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas, Engineering Applications of Artificial Intelligence, vol.25, issue.4, pp.671-682, 2012. ,
DOI : 10.1016/j.engappai.2010.06.002
URL : https://hal.archives-ouvertes.fr/hal-00546144