Type of course:
Digital learning, Path
Language:
EN
Duration:
6 hours
Workload:
10 hours
Proficiency:
Advanced
Target:
Students
The “Predictive Maintenance for students” learning path discusses useful technological aspects that will facilitate industrial upgrade of a factory’s maintenance approach. 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 students and providing them with essential information on their way to their first involvement with Predictive Maintenance. Most important topics discussed:
Predictive Maintenance basics and advanced knowledge
Artificial Intelligence and Data Analytics
Focus on Industry 4.0 implementations and retrofitting production
Condition Monitoring applications
Learning outcomes
- Support the PdM pipeline and advantages
- Compare PdM, maintenance task scheduling predictions
- Recognize mechanical failures and their effects.
LessonIntroduction to Artificial Intelligence and Machine Learning techniques
Course Content
LessonIntroduction to sensors for Predictive Maintenance
Course Content
LessonIntroduction to Industry 4.0 technologies: Big Data, Internet of Things and Digital Twins
Course Content
LessonCondition Based Maintenance
Course Content
LessonPredictive Maintenance: Beyond the basics
Course Content
LessonData processing in predictive maintenance
Course Content
LessonMachine Availability and Equipment Operation Management
Course Content
LessonAdvanced Computerized Maintenance Management Systems
Course Content
LessonTask lesson for students
Course Content
LessonTask lesson on Predictive Maintenance paradigm
Course Content
LessonQuiz for students
Course Content
Topics
Advanced Manufacturing, Digital Transformation, CNC Machining, Mechanics, Internet of Things (IoT), Artificial Intelligence (AI), Data Analytics