Topics: Quality, Safety & Maintenance
Most complex systems are moving toward a “smart” solution, with automated methods for identifying and diagnosing problems. This course will explore how efficient system scan be designed in an effective manner to ensure that they meet performance requirements. Because predictive maintenance is important to the aerospace industry, this course will address systems engineering (SE), review prognostic health management (PHM), and explain how you can utilize them to obtain a better system. Additionally, it will address requirements management; model-based design; and verification and validation.
By attending this course, you will be able to:
This course is designed for engineers in the aviation industry who would benefit from learning how to apply principles associated with systems engineering (SE) and design, verification and validation, model-based design and analysis, and prognostic health management (PHM).
Bachelor of Engineering
You must complete all course contact hours and successfully pass the learning assessment to obtain CEUs.
Dr. Ravi Rajamani, who works currently as a consultant, has in-depth knowledge and experience in aerospace propulsion and energy; data analytics and model-based methods for controls; and diagnostics and prognostics. Author of the book Electric Flight Technology: The Unfolding of a New Future, Dr. Rajamani has published two other books and many journal articles, conference papers and patents. Prior to his current job, he worked at Meggitt, United Technologies Corporation (UTC) and General Electric. He has PhD from the University of Minnesota, an MBA from the University of Connecticut and a BTech from IITD. He is actively involved in the PHM Society, SAE International technical committees, and is a visiting professor of Aerospace, Transport and Manufacturing at Cranfield University. He is the editor-in-chief of the SAE International Aerospace Journal, is a fellow of SAE, and is the recipient of the Forest R. McFarland Award