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Digital Twin Based Health Monitoring

Course Overview

The objective is to provide a basis for developing digital twin-based health monitoring systems in marine applications.

Course Highlights

The course will start with the fundamental of digital twin, tools and methods used with industrial examples and applications. Students will learn how to build a digital twin through a project over the course and in the lab.

MAIN GOAL

Overview of steps used in developing digital twin and physics-based, data driven and hybrid approaches. Overview of physics-based methods for dynamic response analysis and degradation models for RUL estimation. Overview of data-driven models for load estimation. Examples of applications in offshore wind turbines and marine propulsion systems.

Learning Outcomes

After completion of this course, you will gain the ability to:

  • + Understand the steps need to develop a digital twin
  • + Build models needed for a digital twin i.e. via multi-body dynamic models or data driven
  • + Model degradation and estimate RUL for mechanical or structural element
  • + Understand the challenges for digital twin development and its application in health monitoring
  • + Build a case study digital twin in lab

Meet Your Instructors

Amir Nejad

Course coordinator

Admissions

Entry Requirements

  • + Basic introduction to engineering dynamics, data analysis.

Teaching and Assessment Methods

  • + Lectures
  • + Modelling exercises through short project work
  • + Evaluation through oral examination

Application Deadline: TBC.

Practical Notes

  • + Course material will be given during the course

Fees & Funding

Tuition Fees

Visit institution page for information on fees and application deadlines.

Click here to visit institution page

Course Info

Contact Amir Nejad for any additional information relating to this course.


Amir Nejad

Course Co-ordinator

amir.nejad@ntnu.no

Enroll