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What is Intelligent Automation for Predictive Maintenance about?

This document discusses two case studies using intelligent automation systems for predictive maintenance. For elevators, neural networks were used to build models from data as there was no prior experience. For machine tools, Bayesian networks were chosen to model knowledge with an adaptation mechanism to update the models over time based on increased experience. The system also includes sensors, processing units, and remote maintenance modules to monitor conditions. Results showed feasibility but further e

Author

Oussama radiki

Language

EN