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Monitoring of existing production systems

By Czech Technical University - Slovak University of Technology in Bratislava

Type of course:

Digital learning, Path

Language:

EN

Duration:

2 hours, 30 minutes

Workload:

6 hours

Proficiency:

Intermediate

Target:

Manager, Professionals, Students

This learning path provides insight into potential of enhancing existing production systems by digital monitoring technology. The topics covered are: Using data for increasing added value of production systems (production lines and machine tools). Low (LF) and high (HF) frequency data definition and possible usage. From data to information process. Purpose of LF data, integration of sensors and technical solution for LF data acquisition. Methods for LF data processing. Purpose of HF data, integration of sensors and technical solution for HF data acquisition. Methods for HF data processing. Practical part with application example is provided which can be easily experimented by the learners.


Learning outcomes

  1. Learner understands the importance of machine monitoring and predictive maintanence, and how they improve the efficiency of a production line
  2. The learner recognises the potential what use cases and systems are applicable in certain situations similar to their own industrial application
  3. The learner is able to specify the requirements for the application
LessonTask: Low-Frequency Machine Data Reading and Processing
LessonQuiz: Low-Frequency Machine Data Reading and Processing
LessonQuiz: High-Frequency Machine Data Reading and Processing

Topics

Sustainable Energy and Clean Technologies, Digital Transformation, Sustainable Manufacturing, Refurbishment, Internet of Things (IoT), Cloud Computing, Data Analytics

Provided by

Content created in 2023
+223 enrolled
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Course Includes

  • 2 Quizzes
  • 1 Certificate of achievement

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