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Conclusion The “Anomaly Detection in Manufacturing Processes” project is pivotal for enhancing manufacturing efficiency and product quality. By harnessing diverse data sources, accurate anomaly annotations, and rigorous privacy and security measures, this initiative empowers the development of advanced anomaly detection models. These models will help manufacturers proactively identify and address anomalies, leading to improved production […]
Conclusion Predictive maintenance (PdM) for industrial equipment harnesses data-driven techniques to anticipate and prevent equipment failures, to significant cost savings, reduced downtimes, and increased operational reliability.
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