DOIONLINE

DOIONLINE NO - IJMPE-IRAJ-DOIONLINE-19465

Publish In
International Journal of Mechanical and Production Engineering (IJMPE)-IJMPE
Journal Home
Volume Issue
Issue
Volume-11,Issue-2  ( Feb, 2023 )
Paper Title
Intelligent Monitoring and Fault Prediction System for Drives of an Industrial, 6-Axis Robot
Author Name
Paweł Pasławski, Michał Pietrzak, Paweł Przejczowski, Jan Przepióra, Krzysztof Lalik
Affilition
Pages
6-10
Abstract
This paper presents the results of an intelligent system for monitoring and prediction of defects in the drives of an industrial robot. A neural algorithm based on a convolution neural network has been implemented to detect robot malfunctions. The algorithm receives input data thanks to sensors mounted in the robot's drives. The collected data - current and torque - are stored in the cloud. This makes it possible to apply advanced data processing algorithms and, as a result, to detect early failures and wear of the drive. The article presents the architecture of the implemented neural network, how the data is prepared for learning and the results of learning the algorithm. Keywords - Artificial Intelligence, Predictive Maintenance, Industry 4.0, Convolutional Neural Network
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