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5.4 Training Predictive Models and Algorithms
It is necessary to train prediction models and algorithms utilizing
historical data in order to execute predictive maintenance and
quality enhancement. This entails choosing and using the best
machine learning algorithms, building models using labeled
data, and assessing their performance to make sure predictions
are accurate.
5.5 Integration and Continuous Improvement
Predictive maintenance and quality improvement technologies
are integrated into current maintenance and quality control
operations. The efficacy and dependability of the established
systems are ensured through continuous improvement, which is
essential for improving the models, algorithms, and procedures
over time-based on feedback, fresh data, and developing
business demands.
