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Predictive Maintenance for data engineers

By Laboratory for Manufacturing Systems and Automation of Patras - BIBA

Type of course:

Digital learning, Path

Language:

EN

Duration:

6 hours

Workload:

11 hours

Proficiency:

Advanced

Target:

Manager, Professionals, Students, Workers

The “Predictive Maintenance for data engineers” 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 data engineers 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

Maintenance software 

Maintenance and Equipment Availability attributes


Learning outcomes

  1. Solve a Predictive Maintenance related task according to Artificial Intelligence guidelines
  2. Compare Equipment Availability attributes
  3. Value maintenance task management and delivery

Topics

Advanced Manufacturing, Digital Transformation, CNC Machining, Mechanics, Internet of Things (IoT), Artificial Intelligence (AI), Data Analytics

Provided by

Content created in 2023
+223 enrolled
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Course Includes

  • 1 Quiz
  • 1 Certificate of achievement

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