Feature-preserving data compression of stamping tonnage information using wavelets

Tonnage information is referred to as stamping force measurement in a compl ete forming cycle. Tonnage data contains rich information and features of s tamping process failures. Due to its nonstationary nature and lack of physi cal engineering models, tonnage information cannot be effectively compresse d using conventional data-compression techniques. This article presents a s tatistic al method for "feature-preserving" data compression of tonnage inf ormation using wavelets. The technique provides more efficient data-compres sion results while maintaining key information and features for process mon itoring and diagnosis. Detailed criteria, algorithms, and procedures are pr esented. A real case study is provided to illustrate the developed concepts and algorithms.