Type of course:
Digital learning, Lesson
Language:
EN
Duration:
15 minutes
Workload:
2 hours
Proficiency:
Intermediate
Target:
Manager, Professionals, Students, Workers
Once Predictive Maintenance has been established as a company’s go-to-maintenance method, the first towards implementation lies on tracking the factory’s current situation. This refers to what is already monitored and mostly from which assets the predictive maintenance implementation should begin. This learning nugget will discuss these exact issues.
Learning outcomes
- Identify which assets are suitable for predictive maintenance.
- Analyze the effort that each asset demands for condition monitoring
- Evaluate the current situation in a factory.
Course Content
Topics
Advanced Manufacturing, Digital Transformation, CNC Machining, Mechanics
Provided by
-
Laboratory for Manufacturing Systems and Automation of Patras
-
BIBA
+224
enrolled
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