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Quick health assessment for industrial robot health degradation and the supporting advanced sensing development

Published

Author(s)

Guixiu Qiao, Brian A. Weiss

Abstract

Robotic technologies are becoming more integrated with complex manufacturing environments. The addition of greater complexity leads to more sources of faults and failures that impact a robot system's reliability. Industrial robot health degradation needs to be assessed and monitored to minimize unexpected shutdowns, improve maintenance techniques, and optimize control strategies. A quick health assessment methodology is developed at the U.S. National Institute of Standards and Technology (NIST), to quickly assess a robot's tool center position and orientation accuracy degradation. An advanced sensing development to support the quick health assessment methodology is also presented in this paper. The advanced sensing development includes a seven-dimensional (7-D) measurement instrument (time, X, Y, Z, roll, pitch, and yaw) and a smart target, to facilitate the quick measurement of a robot's tool center accuracy.
Citation
Journal of Manufacturing Systems Special Issue on Smart Manufacturing

Keywords

Advanced Sensing, PHM, Industrial Robot, Quick health assessment, Smart Target
Created June 1, 2018, Updated November 10, 2018