Since the vehicle program in the automotive industry gets more and more extensive, the costs related to inspection increase. Therefore, there are needs for more effective inspection preparation. In many situations, a large number of inspection points are measured, despite the fact that only a small subset of points is needed. A method, based on cluster analysis, for identifying redundant inspection points has earlier been successfully tested on industrial cases. Cluster analysis is used for grouping the variables into clusters, where the points in each cluster are highly correlated. From every cluster only one representing point is selected for inspection. In this paper the method is further developed, and multiple linear regression is used for evaluating how much of the information is lost when discarding an inspection point. The information loss can be quantified using an efficiency measure based on linear multiple regression, where the part of the variation in the discarded variables that can be explained by the remaining variables is calculated. This measure can be illustrated graphically and that helps to decide how many clusters that should be formed, i.e., how many inspection points that can be discarded.
Skip Nav Destination
Article navigation
October 2009
Research Papers
A Measure of the Information Loss for Inspection Point Reduction
Kristina Wärmefjord,
Kristina Wärmefjord
Department of Product and Production Development,
Chalmers University of Technology
, SE-412 96 Göteborg, Sweden
Search for other works by this author on:
Johan S. Carlson,
Johan S. Carlson
Fraunhofer-Chalmers Research Centre
, Chalmers Science Park, SE-412 88 Göteborg, Sweden
Search for other works by this author on:
Rikard Söderberg
Rikard Söderberg
Department of Product and Production Development,
Chalmers University of Technology
, SE-412 96 Göteborg, Sweden
Search for other works by this author on:
Kristina Wärmefjord
Department of Product and Production Development,
Chalmers University of Technology
, SE-412 96 Göteborg, Sweden
Johan S. Carlson
Fraunhofer-Chalmers Research Centre
, Chalmers Science Park, SE-412 88 Göteborg, Sweden
Rikard Söderberg
Department of Product and Production Development,
Chalmers University of Technology
, SE-412 96 Göteborg, SwedenJ. Manuf. Sci. Eng. Oct 2009, 131(5): 051017 (6 pages)
Published Online: September 25, 2009
Article history
Received:
April 20, 2009
Revised:
August 11, 2009
Published:
September 25, 2009
Citation
Wärmefjord, K., Carlson, J. S., and Söderberg, R. (September 25, 2009). "A Measure of the Information Loss for Inspection Point Reduction." ASME. J. Manuf. Sci. Eng. October 2009; 131(5): 051017. https://doi.org/10.1115/1.4000105
Download citation file:
Get Email Alerts
Arc characteristics of aluminum alloy double-wire high-frequency pulsed GMAW
J. Manuf. Sci. Eng
Gravitational Effects on Optical Lens Fabrication: First Insides on Earth- and Microgravity Experiments
J. Manuf. Sci. Eng (December 2024)
Related Articles
Develop a Robot-Aided Area Sensing System for 3D Shape Inspection
J. Manuf. Sci. Eng (February,2010)
Inspection of White Layer in Hard Turned Components Using Electrochemical Methods
J. Manuf. Sci. Eng (April,2007)
Multimodal Industrial Inspection and Analysis
J. Comput. Inf. Sci. Eng (March,2007)
Key Inspection Characteristics
J. Mech. Des (December,2001)
Related Chapters
Inspection and Maintenance of Ageing Concrete Oil and Gas Structures on the Norwegian Continental Shelf
Ageing and Life Extension of Offshore Facilities
Car Body Paint Defect Detection and Classification
International Conference on Computer and Computer Intelligence (ICCCI 2011)
Review of Basic Principles
Fundamentals of heat Engines: Reciprocating and Gas Turbine Internal Combustion Engines