Course description
The course introduces the use of autonomous systems inspection approaches by aerial and/or ground unmanned vehicles with the use of non-destructive imaging inspection techniques (i.e. visual, IR, PA-UT, etc). Development of such techniques minimizes the time of inspection, reduce human involvement and thus operational cost, leading to automated damage assessment.
The course gives a theoretical and methodological background for implementation of autonomous systems inspection of aerospace structures. By using advanced imaging Non-Destructive Testing (NDT) techniques you will automatically and increasingly accurately identify defects and then by applying Artificial Intelligence (AI) approaches it would be feasible to make credible 'fly / no-fly' decisions promptly and provide maintenance services with valuable information. In other words, the development of advanced diagnostic and monitoring of aircraft structures.Upcoming start dates
Suitability - Who should attend?
This course is the best choice for those who are involved in the design and validation of the automated and autonomous systems inspections using unmanned aerial vehicles (UAV) and/or unmanned ground vehicles. It is also suitable for those that work in the area of maintenance and operation.
Outcome / Qualification etc.
What you will learn
On successful completion, you should be able to understand the use of:
- NDT imaging approaches for damage detection.
- Autonomous and efficient path planning for optimal remote structural inspection.
- Self-localization and obstacle avoidance within complex environments.
- Aerial and ground robotic manipulation for monitoring and diagnostics.
- AI to automatically and increasingly accurately identify defects.
- Maintenance planning and monitoring of structures.
Training Course Content
Core content
Topics covered by the course include:
- Introduction to NDT imaging techniques for autonomous inspection.
- Flight Control and Obstacle Avoidance.
- Localization and Mapping.
- Damage Detection, Defect Localization, Image Processing, and NDT assessment.
- Use of AI for damage assessment and decision making.
- Maintenance and Monitoring Studies and Applications.
- Practical case study: Inspection – testing on an actual aircraft.Who should attend
Course delivery details
Course structure
The course duration is 4 days and it will be delivered online.
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Cranfield University
Cranfield is a specialist postgraduate university that is a global leader for education and transformational research in technology and management. We have many world-class, large-scale facilities, including our own global research airport, which offers a unique environment for transformational education...