Course - Service and Maintenance I - IPEV6006
IPEV6006 - Service and Maintenance I
Lessons are not given in the academic year 2023/2024
In this course the students will gain knowledge in the following topics: IIoT Digital twins, an introduction Data collection and sensitivity analysis Introduction to machine learning methods, such as deep-learning? Predictive maintenance and conditional support systems
Learning methods and activities
In this course, we will first present a general introduction about digitalization in different domains, from automobile, aviation to maritime operations. Data-driven methods and analytics will be introduced. Students will learn how to use sensitivity analysis methods to simplify surrogate model for simulation. Some machine learning methods, including deep-learning technology will be introduced. We will take conditional support system as examples, to show the use of the technology in ship component predictive maintenance.
Further on evaluation
Admission to a programme of study is required:
Ship Design, Engineering (699SD)
Recommended previous knowledge
Background in Automation or Computer Science is an advantage.
Students will use their own laptops to install software. Access to software will be given ahead of the course. Students can download lecture notes from given network.
Credits: 7.5 SP
Study level: Further education, lower degree level
Language of instruction: English
Department with academic responsibility
Department of Ocean Operations and Civil Engineering
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"