Predictive Maintenance is one of the largest areas recognized for monetization in the Industrial IoT. Advanced failure prediction through the application of predictive maintenance can significantly reduce unplanned downtime in high volume manufacturing production lines.
This session provides a real-world framework, from endpoint to cloud, incorporating machine learning and advanced analytics for migration from preventative to predictive maintenance resulting in increased manufacturing efficiency and productivity. The framework encompasses the following areas:
Each of the areas identified will be supplemented with real-world application examples in test or implemented in production facilities today.
