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Digital Twin for Gas Turbine Performance, Diagnostics and Life Assessment
Description
Digital Twin technology is transforming the way gas turbine engines are designed, operated, and maintained. By combining high-fidelity physics-based or data-based models with real-time operational data, Digital Twins enable enhanced performance prediction, condition monitoring, fault diagnosis and prognosis, and life-cycle optimisation. This short course provides a comprehensive introduction to Digital Twin concepts and their application to gas turbine systems, bridging fundamentals with practical implementation. The course draws on industrial best practice and current research to demonstrate how Digital Twins could be deployed across the gas turbine life cycle, from design and certification to operation and through-life support.
Course Endorsement
This course is delivered under the ISABE Education Portfolio in association with Cranfield university and experts drawn from Industry. It aligns with ISABE’s objective of promoting the international
exchange of knowledge in air-breathing propulsion and supporting continuing professional development for engineers and researchers.
This CPD programme is organised under aegis of ISABE by Dr Abdulla Alseiari, Alt National Representative for UAE on the board of ISABE.
Dr. Abdulla Alseiari
Who should Attend
The course is intended for:
- Practising gas turbine and propulsion engineers
- Engineers involved in performance, diagnostics and prognostics, engine health monitoring, operations, and maintenance
- Technical managers and specialists in MRO and asset management
- Researchers and postgraduate-level engineers working in propulsion system
Participants are expected to have an engineering background with basic familiarity with gas turbine concepts.
Expected Learning Outcomes
On completion of the course, participants will be able to:
- Understand the concept, scope, and types of Digital Twins for gas turbine systems
- Appreciate physics-based and data-driven modelling approaches within a Digital Twin framework
- Appreciate data requirements, fidelity considerations, and integration challenges
- Use Digital Twin methodologies for engine diagnostics, degradation tracking, maintenance and engine life assessment
- Understand current industrial practice and future trends in Digital Twin deployment
Key Topics Covered
The course would typically cover:
- Gas turbine technology and off-design operation
- Introduction to Digital Twin Concepts and architecture
- Physics-based and data-based Digital Twin modelling
- Hands-on Digital Twin simulations using simplified AI/ML models
- Gas Turbine Diagnostics and Prognostics
- DT for Diagnostics, Condition Monitoring and Maintenance Optimisation
- Industrial perspectives and future developments in Digital Twins
For detailed timetable Click Here
Course Format and Delivery
- Duration: 4½ days (27 hours)
- Delivery Mode: Expert led lectures In-person classroom based (some lectures will be online), case studies etc.
- Level: Postgraduate / Continuing Professional Development
- Language: English
- Teaching Aids: Lectures, demonstrations, and hands-on simulations using proprietary tools as applicable.
Digital copies of all course material will be provided to participants.
Course Speakers
Prof. P Pilidis
Cranfield University, UK
Dr. Yiguang Li
Cranfield University, UK
Prof. S Sampath
Cranfield University, UK
Prof. J Erkoyuncu
Cranfield University, UK
Dr. Phil Naylor
Rolls Royce, UK
Prof. Vili Panov
Simens Energy/University of Lincoln, UK
Course Venue
Course will be delivered in Abu Dhabi (likely Crown Plaza Yas Island, Abu Dhabi)
Course Fee and Registration
The fee for attending the course will be USD 1200 per person which includes digital lecture materials, refreshments and lunch on all lecture days.
Five or more delegates from the same organisation can avail bulk registration discount. (USD 1000 per person) .
On completion of the course the delegates will get Certificate of Attendance from ISABE and Cranfield University.
For further information on the course and bulk registration discount contact isabe@cranfield.ac.uk
