Digital Twin Enhanced Condition Monitoring and Maintenance Decision Making of Critical Engineering Systems
🌟 The IEEE NL Section Women in Engineering (WIE) invites you to a special talk titled "Digital Twin Enhanced Condition Monitoring and Maintenance Decision Making of Critical Engineering Systems", by Dr. Mihiran Galagerage Don, Assistant Professor, Faculty of Engineering and Applied Science, Memorial University of Newfoundland.
Talk Abstract:
Failures in marine propulsion systems, though infrequent, can cause significant safety and economic consequences through loss of propulsion (LOP) events. Emerging maritime trends—including hydrogen propulsion, Arctic navigation, and autonomous operations—further increase the need for advanced condition monitoring. This study reviews digital twin (DT) research for marine propulsion systems, highlighting the limited focus on component-level DTs despite their potential for predictive maintenance and reliability improvement. Key challenges include limited dynamic models, computational cost, data availability, ownership issues, and communication constraints. To address these gaps, the study proposes the Digital Twin Research Hub (DTRH), a bond graph–based multi-physics framework for developing efficient component-level DTs and fostering interdisciplinary collaboration.
Date and Time
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- Memorial University of Newfoundland
- St. John's, Newfoundland and Labrador
- Canada
- Room Number: Faculty Lounge (EN4000)
Speakers
Dr. Mihiran Galagedarage Don
Digital Twin Enhanced Condition Monitoring and Maintenance Decision Making of Critical Engineering Systems
Biography:
Speaker Biography:
Mihiran Galagedarage Don is an Assistant Professor in the Department of Mechanical and Mechatronics Engineering at Memorial University of Newfoundland and a Visiting Researcher at Aalto University, Finland. From 2023 to 2025, he led Aalto University’s “Digital Twin World” flagship research program.
He earned a Ph.D. in Mechanical Engineering (2023) and an M.Eng. in Process Engineering (2019) from Memorial University of Newfoundland. He also holds a master’s degree in Sustainable Process Engineering (2016) and a B.Sc. in Materials Engineering (2009) from the University of Moratuwa, Sri Lanka. His interdisciplinary background enables him to identify and pursue opportunities for collaboration. His current research focuses on developing enhanced condition-monitoring systems for critical engineering applications using component-scale digital twins, fostering collaboration across disciplines such as mechanical engineering, materials science, and intelligent systems.