The kernel density estimate/point distribution model (KDE-PDM) for statistical shape modeling of automotive stampings and assemblies
The ability to effectively model dimensional variation of stampings and assemblies is an important tool for manufacturers to investigate, assess and control quality levels of their products. Statistical Process Control (SPC) and Six-Sigma approaches use the assumptions of statistical independence and normally distributed data to create quality process control guidelines which are predominantly used in industry. Multivariate statistical techniques such as Principal Components Analysis (PCA) have...[Show more]
|Collections||ANU Research Publications|
|Source:||Robotics and Computer-Integrated Manufacturing|
|01_Matuszyk_The_kernel_density_2010.pdf||1.44 MB||Adobe PDF||Request a copy|
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