Process Optimization Through Data Variation Analysis, 2007 TAPPI Papermakers and PIMA International Leadership Conference



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Reducing sheet variations has been the goal of paper makers for a long time. Sheet variations increase sheet breaks, reduce product quality, limit machine speed, extend transition times, and stand in the way of converting and production. These variations may have their source in bad valves, poor mixing, faulty transmitters, excessive mechanical vibration, or improperly tuned controllers. All of these variations can be “seen” with the basis weight, moisture, and caliper sensors. This paper will discuss methods for using sensor data to categorize product variation based on steady state and transient data analysis techniques. Once product variation has been properly measured, then the source can easily be found and corrective action taken.

Author: Timothy Murphy, Kevin D. Starr
Process Optimization Through Data Variation Analysis
Process Optimization Through Data Variation Analysis, 2007 TAPPI Papermakers and PIMA International Leadership Conference
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