Accession Number : ADA133193
Title : Statistical Modeling of a Fluorescent Tube Coating Process.
Descriptive Note : Interim rept.,
Corporate Author : CARNEGIE-MELLON UNIV PITTSBURGH PA ROBOTICS INST
Personal Author(s) : Rauh,Michael J ; Neuman,Charles P ; Wimberly,Francis C
PDF Url : ADA133193
Report Date : May 1983
Pagination or Media Count : 66
Abstract : The coating of a fluorescent lamp with fluorescent paint is an example of a complex industrial process. Improved control of this process could lead to reduction in the cost of producing a lamp. Modeling the process is necessary for improved control. As a first step, a study of the coating process has been made. The study included two criterion, or dependent, variables and 12 predictor, or independent variables. Analysis of the study data has produced a linear regression model with five independent variables which accounts for 58% of the variation in coating thickness. Also, a set of linear classification functions has been found which correctly classify 92% of visual defects from 12 input variables, using the training data. These preliminary models have been used to design a controlled experiment. The controlled experiment will allow the significance of seven independent variables in determining optical density and visual defects to be established conclusively.
Descriptors : *Lamps, *Coatings, *Production models, *Statistical analysis, Fluorescence, Paints, Tubes, Processing, Mathematical models, Linear regression analysis
Subject Categories : Coatings, Colorants and Finishes
Statistics and Probability
Air Condition, Heating, Lighting & Ventilating
Mfg & Industrial Eng & Control of Product Sys
Distribution Statement : APPROVED FOR PUBLIC RELEASE