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• W2017334578 abstract "Abstract Tonnage information is referred to as stamping force measurement in a complete forming cycle. Tonnage data contains rich information and features of stamping process failures. Due to its nonstationary nature and lack of physical engineering models, tonnage information cannot be effectively compressed using conventional data-compression techniques. This article presents a statistical method for “feature-preserving” data compression of tonnage information using wavelets. The technique provides more effcient data-compression results while maintaining key information and features for process monitoring and diagnosis. Detailed criteria, algorithms, and procedures are presented. A real case study is provided to illustrate the developed concepts and algorithms. KEY WORDS: Data shrinkageFeature-losslessMultiresolution analysisProcess monitoring and diagnosisSignal segmentationStamping tonnage information processing" @default.
• W2017334578 created "2016-06-24" @default.
• W2017334578 creator A5022416209 @default.
• W2017334578 creator A5063281985 @default.
• W2017334578 date "1999-11-01" @default.
• W2017334578 modified "2023-10-12" @default.
• W2017334578 title "Feature-Preserving Data Compression of Stamping Tonnage Information Using Wavelets" @default.
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• W2017334578 doi "https://doi.org/10.2307/1271349" @default.
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