Statistical Modeling of a Fluorescent Tube Coating Process.

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.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1983
Accession Number
ADA133193

Entities

People

  • Charles P. Neuman
  • Francis C. Wimberly
  • Michael J. Rauh

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Control Systems
  • Data Acquisition
  • Data Analysis
  • Data Mining
  • Data Science
  • Dielectric Gases
  • Discriminant Analysis
  • Electrical Engineering
  • Engineering
  • Experimental Design
  • Information Science
  • Measurement
  • Measuring Instruments
  • Regression Analysis
  • Statistical Algorithms
  • Statistical Analysis
  • Surveys

Readers

  • Computational Modeling and Simulation
  • Human-Computer Interaction (HCI).
  • Regression Analysis.