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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Machine vision and applications 3 (1990), S. 169-182 
    ISSN: 1432-1769
    Keywords: machine vision ; Taguchi methods ; accuracy ; repeatability ; capability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract This paper presents a systematic methodology based on Taguchi methods to determine and optimize a machine vision system's capability. Seven factors were studied in anL 27(313) orthogonal array: lens type, color of the background, distance between two objects on the target, distance between the camera and the target, filter, lighting source, and angle between the optic axis of the camera and the surface of the target. The optimal factor-level combination was determined from the experiment results, and the response surface plots were provided for a user to choose an alternative. Because this Taguchi methods-based methodology is simple and effective, it is recommended for determining and optimizing a machine vision system's capability.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of intelligent manufacturing 8 (1997), S. 137-146 
    ISSN: 1572-8145
    Keywords: Metrology ; robotics ; Taguchi methods
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract This study was designed to compare the effectiveness of using two measurement devices: the WATSMART system and the WILDCAT theodolite system for robot metrology. The former device is less expensive, and runs automatically. The theodolite system has a better resolution but is more expensive, and runs manually. The objective was to determine the agreement in their measurement accuracy, variation, and the resulting best performance condition for the robot (i.e. optimal factor–level combination) between the two kinds of measurement equipment. The idea was that even if the accuracy and variation of the equipment differed, if the practical aspects (i.e. measurement performance and the purpose of measurement) were acceptable, the less expensive equipment would provide cost and automation benefits. The experiment was conducted on a PRO-ARM RS-2200, five axis, open loop, joint-coordinate type, educational robot. A Taguchi L27 orthogonal array was selected for the experimentation. Seven controllable factors (load, speed, distance moved, orientation of the robot arm, direction of travel, height of travel, and the starting point), along with three interactions, were studied. The accuracy of the robot and the best factor–level combination (FLC) were computed for each set of observations. The mean, standard deviation and maximum values for the two pieces of equipment were also computed. Based on this, the agreement between the two equipment was deduced. Although some similarity existed, the results were not good enough to convince the authors that the two measurement systems were equally effective. Recommendations are made for the appropriate situations for using each of the measurement devices.
    Type of Medium: Electronic Resource
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