Transforming Extrusion Processes with Advanced Machine Learning
The diagnosis and monitoring of extrusion processes have historically relied on rule-based algorithms. While effective for many years, this conventional approach faces inherent limitations. These limitations include a restricted number of controllable parameters, vulnerability to irrelevant outliers, and heightened complexity in systems with extensive degrees of freedom.
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