Predictive Maintenance for Manufacturing [Azure Databricks]

Reduce Breakdowns with Predictive Maintenance with Azure Databricks. Check out our other videos here: https://bit.ly/3liRquT

What may sound like the plot of a blockbuster action movie – preventing catastrophic system failure before it happens! – is one of the most common and beneficial use cases enabled by Machine Learning technology.

Predictive Maintenance is the process of applying ML models to equipment degradation measurements in order to predict when the next failure will occur. Contrary to preventive maintenance, which simply operates on a preset schedule, predictive maintenance relies on the actual condition and historical performance capability of the equipment as observed by traditional and modern IoT enabled metrics.

In a study by the US Department of Energy, Predictive Maintenance provides a 12% cost savings over preventive maintenance programs, while also eliminating 75% of breakdowns!

We delve deeper into the use cases and importance of Predictive Maintenance in manufacturing. We’ll demonstrate how to construct an end-to-end Predictive Maintenance model using Azure Databricks and ML libraries, and we just might show you how Predictive Maintenance enables you to be your very own action hero!

After attending this webinar, you will be able to answer questions such as:

Given the history of a certain machine, will it fail within the next week?
What part of my machine is most likely to fail next?
Which sensor measures or machine features are most contributing to failures?

Session Agenda
- Overview of Predictive Maintenance
- Current Use Cases and Benefits
- Databricks Demo: Predicting whether a machine will fail due to 4 possible components within the next week

This session is for anyone interested in learning more about Predictive Maintenance in general and how to improve return on investment through successful implementation.

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Видео Predictive Maintenance for Manufacturing [Azure Databricks] канала 3Cloud