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
- Learner understands the importance of machine monitoring and predictive maintanence, and how they improve the efficiency of a production line
- The learner recognises the potential what use cases and systems are applicable in certain situations similar to their own industrial application
- The learner is able to specify the requirements for the application
LessonIntroduction to Low-Frequency Machine Data Reading and Processing
Course Content
LessonUse Case: CNC Low-Frequency Machine Data Reading and Processing
Course Content
LessonTask: Low-Frequency Machine Data Reading and Processing
Course Content
LessonQuiz: Low-Frequency Machine Data Reading and Processing
Course Content
LessonIntroduction to High-Frequency Machine Data Reading and Processing
Course Content
LessonUse Case of High-Frequency Machine Data Reading and Processing
Course Content
LessonQuiz: High-Frequency Machine Data Reading and Processing
Course Content
Topics
Sustainable Energy and Clean Technologies, Digital Transformation, Sustainable Manufacturing, Refurbishment, Internet of Things (IoT), Cloud Computing, Data Analytics