Qiao, G.
and Weiss, B.
(2018),
Quick health assessment for industrial robot health degradation and the supporting advanced sensing development, Journal of Manufacturing Systems Special Issue on Smart Manufacturing, [online], https://doi.org/10.1016/j.jmsy.2018.04.004 (Accessed April 27, 2026)
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Quick health assessment for industrial robot health degradation and the supporting advanced sensing development
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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
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Journals
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Keywords
Advanced Sensing, PHM, Industrial Robot, Quick health assessment, Smart Target
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Created June 1, 2018, Updated November 10, 2018