DocumentCode
3420575
Title
Cutting quality of kitchen knives: an application of sensor fusion to the analysis
Author
Takatsuji, Toshiyuki ; Tanaka, Ken-ichi
Author_Institution
Nat. Res. Lab. of Metrol., AIST, Ibaraki, Japan
fYear
1992
fDate
9-13 Nov 1992
Firstpage
1571
Abstract
Regression analysis is examined as a data integration technique for sensor fusion. Using experimental design, the effect of each explanatory variable on response variables is obtained independently, and when interactions are expected to exist, the effects can be calculated. An experiment on the quantification of sensor characteristics measured by sensor evaluation was carried out. The cutting quality of kitchen knives was considered as an example of sensory characteristics. It was found that the most significant factors influencing cutting quality are the angle of the cutting edge and the roughness of the side surface of the cutting edge
Keywords
sensor fusion; statistical analysis; cutting edge; cutting quality; data integration; kitchen knives; quantification; regression analysis; response variables; roughness; sensor fusion; Design for experiments; Equations; Laboratories; Metrology; Performance analysis; Regression analysis; Robot control; Robot sensing systems; Sensor arrays; Sensor fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on
Conference_Location
San Diego, CA
Print_ISBN
0-7803-0582-5
Type
conf
DOI
10.1109/IECON.1992.254366
Filename
254366
Link To Document