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Smart Maintenance

By University of Zagreb – FAMENA

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

  1. After completion of this training, the learner will be able to set up and use rotary machinery fault simulator
  2. 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
  3. After completion of this training, the learner will be able to understand the basics of Data Driven Decision making and Total Productive Maintenance
LessonData-driven decision-making: key roles and internal organizational mechanisms

Course Content

LessonTPM (Total Productive Maintenance) Principles

Course Content

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Single module Content
0% Complete 0/1 Steps
LessonIn.Grid platform

Course Content

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Single module Content
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LessonCondition monitoring based on vibration measurement - Information
LessonIoT - Condition based and predictive maintenance - Task
LessonIoT - Condition based and predictive maintenance - Question
LessonIntroduction to AR, VR and MR

Course Content

MODULES
LessonImplementation of Augmented Reality (AR) System in Smart Maintenance
LessonSmart Maintenance - Quiz

Course Content


Topics

Digital Transformation, Internet of Things (IoT), Data Analytics

Provided by

Content created in 2022
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Course Includes

  • 2 Quizzes
  • 1 Certificate of achievement

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