Abstract
The objective of this project is predictive maintenance of industrial robots and the possibility of building a condition monitoring system based on the data analysis of robot’s power measurements and detecting the robot accuracy error based on electricity data analysis for predictive maintenance.An experimental procedure is carried out to oversee the correlation between the robot accuracy error and a set of extracted features from current time-series, and to evaluate the proposed predictive modeling.
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