Type of course:
Digital learning, Path
Language:
DE
Duration:
2 hours, 30 minutes
Workload:
6 hours
Proficiency:
Intermediate
Target:
Manager, Professionals, Students, Workers
“Predictive maintenance in the factory – German language” will be a learning path dedicated to cover the needs of Italian competent users interested in the predictive maintenance. The whole learning path serves as an all-around educational package that will accomplish a first introduction and apprehension of the Predictive Maintenance (PdM) concept. For such a novel and promising concept like PdM, that has only recently found its first industrial applications, even high-level employees and computer science experts cannot directly involve with approach implementation due to a vast amount of new knowledge. This learning path aims to smoothen this procedure and accelerate PdM culture approval. Focus of this path will be directed to digitally inexperienced professionals and providing them with essential information on their way to their first involvement with Predictive Maintenance. Most important topics discussed:
•Predictive Maintenance basics
•Introduction to Artificial Intelligence and Industry 4.0 technologies
•Condition Based Maintenance and Sensors
•Maintenance tasks and everyday duties upon PdM implementation
Learning outcomes
- Interpret Predictive Maintenance basics and implementation guidelines
- Identify Mechanical Failures and provide data information for PdM purposes
- Value machine availability tactics and maintenance scheduling
LessonIntroduction to Industry 4.0 technologies - German
Course Content
LessonCommon Manufacturing equipment in maintenance - German
Course Content
Lesson1st and 2nd level Maintenance Management - German
Course Content
LessonMachine Availability and Equipment Operation Management - German
Course Content
LessonIntroduction to Computerized Maintenance Management Systems - German
Course Content
LessonTask lesson - German
Course Content
LessonQuiz lesson - German
Course Content
Topics
Advanced Manufacturing, Digital Transformation, CNC Machining, Mechanics, Electronic, Internet of Things (IoT), Artificial Intelligence (AI), Big Data, Data Analytics