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AssigneeThroughput, Inc.
InventorsAli Hussan RAZA, Bhaskar Subbarao BALLAPRAGADA, Seth Rom PAGE, Anzar KAMDAR
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The present invention includes: (a) a method for improving data to be processed for bottleneck detection, by cleaning corrupt or outlier data; (b) a method for improved analysis of bottleneck data using a plurality of rules for categorization; and (c) a method for improved display and/or allowing improved user feedback for bottleneck data using multivariate analysis and display. These methods can be used alone, or preferably be combined in whole or in part together to improve performance of an industrial process. A system is also provided.
A method for improving data to be processed by a bottleneck detection system comprising the steps of:
The method as recited in claim 3 wherein the identifying step includes first identifying a type of data distribution being received and comparing a cumulative density function to a cutoff to identify outliers.
The method as recited in claim 4 wherein the outlier industrial process data is identified when the cumulative density function is beyond a cutoff of mean plus 3 standard deviations.
A method for improved analysis of bottleneck data comprising:
A method for improved display and/or allowing improved user feedback for bottleneck data, comprising:
Dependencies are inferred from the claim text.