PhD Positions: “Industrial Quality Monitoring based on Statistical Process Control (SPC) Techniques”, Belgium

, 2010Part of the research fits in the framework of an interdisciplinary research project entitled “Prognostics for Optimal Maintenance (POM)Study Subject: Science Employer: Katholieke Universiteit Leuven Level: PhD Scholarship Description: Statistical Process Control (SPC) is a widely used framework for monitoring industrial processes. Within SPC, control charts are a powerful tool to detect deviations from normal operation, although they are mainly fit to processes with a fixed target. Such fixed target, however, is not present in numerous applications and the proposed research will focus on such nonstationary processes. Examples are ubiquitous and include production processes in the

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