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DURATION6 WEEKS
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SUBJECT AREAIndustry digitalization, robotics and automation
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COURSE LEVELSecond Cycle
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CREDITS3.5 HP
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INSTITUTIONLinnaeus University
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STUDY TYPEBlended
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START DATE2023-11-07
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END DATE2023-12-19
Applications 2023-09-01 - 2023-11-01
COURSE DESCRIPTION
Increased knowledge of condition monitoring and predictive maintenance can help companies and organizations increase their efficiency, reduce costs, improve reliability and sustainability, and increase their competitiveness in the market. It is an important part of modern technical and industrial activities.
Target group
The course is aimed at professionals who work in various ways with condition monitoring and predictive maintenance, such as maintenance engineers, maintenance technicians, maintenance managers and production managers or similar.
Content
The course consists of four parts.
- In the first part, we focus on the central concepts within maintenance strategies such as condition monitoring and predictive maintenance. How can these strategies contribute to the company's sustainability work and how to establish programs for condition monitoring and predictive maintenance.
- The second part focuses on building the theoretical base around condition monitoring. Various techniques in condition monitoring will be investigated. It will be practiced theoretically on the identification of problems and deviations in condition monitoring signals.
- In the third part of the course, practical work takes place. Different techniques will be used to detect and diagnose different problems. We will work on how to choose the appropriate specifications and requirements for sensors and data acquisition systems.
- The course ends with the fourth part where the project work that involves establishing a condition monitoring system in a maintenance organization is reported and discussed.
The course includes the following elements:
- Maintenance strategies such as condition monitoring, condition-based maintenance and predictive maintenance.
- Different techniques for condition monitoring.
- How condition monitoring can affect the company's sustainability work and profitability.
- How to identify faults and damage by analyzing condition monitoring signals.
- Specifications of sensors and data acquisition systems.
- How to establish a condition-based/condition monitoring system.
Practical information
The course consists of lectures, exercises and seminars, these will be offered either online or onsite (see the schedule for more information). Assessment of the students' performance takes place through written assignments and participation in mandatory seminars. All the parts must be approved to be pass the course.
The course is given in English.
Entry requirements
Basic qualification at advanced level in mechanical engineering or equivalent. Applicants who do not meet this requirement can, by showing corresponding prior knowledge through work experience, be validated as qualified. Two years of relevant work experience then corresponds to one year of college or university studies at basic level.
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