Failure Prediction Methodology for Improved Proactive Maintenance using Bayesian Approach ★ ★The authors gratefully acknowledge STMicroelectronics for their support and provision of data for TT case study. The authors also acknowledge European project INTEGRATE and region RhoneAlpes for ongoing Research.

IFAC-PapersOnLine - Tập 48 - Trang 844-851 - 2015
A. Abu-Samah1, M.K. Shahzad1, E. Zamai1, A.Ben Said2
1Univ. Grenoble Alpes, G-SCOP, F-38000 Grenoble, France
2STMicroelectronics, 850, rue Jean Monnet, 38926 Crolles, France

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