Type of course:
Digital learning, Path
Duration:
2 hours, 40 minutes
Workload:
32 hours
Proficiency:
Beginner
Target:
Professionals, Students, Workers
After completion of this learning path, the learner will:
- Recognize fundamental importance of data-driven decision making on organizational level
- Be able to identify IOT based Predictive Maintenance based on vibration
- Know how to set-up and run rotary machinery fault simulator
- Understand how data are collected and visualized using Industrial IOT platform
- Be able to apply AR/VR glasses for specific maintenance purpose
This learning path ends with a quiz that tests the knowledge gained through the covered nuggets.
Learning outcomes
- After completion of this training, the learner will be able to set up and use rotary machinery fault simulator
- After completion of this training, the learner will be able to understand and use IIoT and AR/VR for data collection and visualization in smart maintenance
- After completion of this training, the learner will be able to understand the basics of Data Driven Decision making and Total Productive Maintenance
LessonTPM (Total Productive Maintenance) Principles
Course Content
LessonIn.Grid platform
Course Content
LessonCondition monitoring based on vibration measurement - Information
Course Content
LessonIoT - Condition based and predictive maintenance - Task
Course Content
LessonIoT - Condition based and predictive maintenance - Question
Course Content
LessonRotary Machinery Fault Simulator Set-up
Course Content
LessonUse Case: Data Collection and Visualisation Using Industrial IoT
Course Content
LessonIntroduction to AR, VR and MR
Course Content
MODULES
LessonImplementation of Augmented Reality (AR) System in Smart Maintenance
Course Content
LessonSmart Maintenance - Quiz
Course Content
Topics
Digital Transformation, Internet of Things (IoT), Data Analytics
Provided by
Content created in 2022
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