High Level Integration and Testing, Complex, Digital and Embedded Systems
12:30 v'Room - Charlotte'
11:00 - 12:30
How can we ensure testing and certification integrity with systems becoming more complex, the integration of systems of systems, as well as the greater use of multicore processors and super-integrated computers? As we continue to move from analogue to digital, how do we accurately test software related systems including COTS components, testing of digital systems, and continuous testing of complex systems? How do we test multicores with multithreading inside? How do we extend testing beyond hardware to systems level? How can we test blockchain authentication to identify corruption? How can we test assemblies, where there are failures on circuit boards (PCBs)? How do you test for long periods in extended testing sessions and what happens on long-term soak testing?
What Does it Take to Certify Multicore Avionics for DO-178C? - Dr. Guillem Bernat, Co-Founder and Head of Sales, Rapita Systems, Ltd.
Dr. Guillem Bernat.
Co-Founder. Rapita Systems, Inc.
Cyberattacks are a major threat to any organisation and is increasing in activity. As more testing moves to the server, remote and distributed testing, or cloud-based environments, securing test processes and data is becoming increasingly important. With more system of system testing, and linking up of components, cybersecurity can only be as good as your weakest point, so how do you test for it? Cybersecurity must be designed into avionics to maintain continuing airworthiness & testing requirements. What do regulators want the industry to do to meet cybersecurity standards? What does an airline need to do to enhance network security on connected aircraft & test it? Can blockchain offer an advantage? In this session, we will explore answers to these questions.
Artificial Intelligence and Machine Learning Within The Testing Environment
17:30 v'Room - Charlotte'
16:00 - 17:30
Artificial Intelligence (AI) and Machine Learning (ML) are becoming more popular in the testing environment, but how can you best apply AI to testing? What are the challenges, what is good about it, and what mistakes can be made? AI/ML can be used for handling vast amounts of data to find patterns and help avoid false positives and detect trends. In what other ways can AI/ML benefit the testing environment?
AI and ML are only as good as they are programmed to be and must learn, so how can we 'test the test' to ensure the reliability of AI is working according to requirements/correctly for peace of mind throughout the end-to-end testing process?
Title TBC - Dr. Trung T. Pham, Chief Scientific and Technical Advisor for Artificial Intelligence & Machine Learning, Federal Aviation Administration (FAA)
An Update on the AS6983 Standard Artificial Intelligence in Aeronautical Systems - Mark Roboff, CEO, SkyThread
Next Generation Architecture for AI - Michael Mattarock II, Technical Director, AI, Carnegie Mellon University
Title TBC - Matt Jackson, Technical Product Manager for HMI Systems, Presagis
Michael Mattarock II.
Technical Director, AI. Carnegie Mellon University.
Technical Product Manager for HMI Systems. Presagis.
The industry is suffering a lack of manpower, but still requires that testing is done efficiently and effectively, so what innovations are being employed to meet demands? From virtual testing and digital twinning to remote testing being taken to another level. Such as, an aircraft gathering data while in air, to troubleshoot themselves and talk to each other, or perhaps utilising flight attendants as technicians.
What is the future role for 3D Modelling, Simulation & Validation, and Automated Testing Equipment (ATE)? Also, the integration of AI into flight control and testing, and use of AI for data analysis or to supplement staff shortages? How can these innovations be used to maximise efficiency and cost savings?
Model Based Approach to Automation of Requirements Based Test Case Generation - Dr. Michael Lingg, Principal Research Engineer, Array of Engineers
Motion Amplification Meets Modal Analysis: Turn Hours & Days into Minutes! - Frank Vitucci, Regional Sales Manager/Aero SME, RDI Technologies
Easily Deployable 3D Metrology Enables Productivity and Reliability Gains - Erik Novak, Vice President and General Manager, 4D Technology (a division of Onto Innovation)
Dr. Michael Lingg.
Principal Research Engineer. Array of Engineers.
Regional Manager - Mid-Atlantic and New England. RDI Technologies.
When developing a system of different components from different suppliers, the question of compatibility will always provide concern. How can we successfully undertake interface interference testing? Software needs hardware to run, and hardware is becoming more complex. What is the backward compatibility in value chain management, how will you update your software with new versions (restricted access to old data) or will you remain with old software (that may have bugs or security leaks)? How do we complete testing of sensors in MRO equipment? How do you test all possible configurations?
The past few years have had a massive impact on the working environment, including how testing is undertaken. While remote and virtual testing have moved rapidly forward, developments in digital twinning and the advent of Artificial Intelligence has revolutionised the way testing and verification is undertaken.
Many companies are now wanting less virtual testing to enhance accuracy and efficiencies in procedures. How do we find the best balance, especially with staff shortages? With a shortage of engineers and A&P personnel, how is AI being used to become a workforce multiplier? What is the impact of the changing working environment on multicore, digital twins and digital manufacturing, and what role can predictive maintenance play?
With drones becoming increasingly integrated into airspace how do we successfully deliver UAM/UAS/UAV/eVTOL and Drone Testing? As the industry looks to discard acceptance flights due to engineering resources, what kind of testing does it require? How do we employ measures to ensure the reliability and integrity of testing in this new age?
Incorporating Autonomous Drones with Assisted Defect Recognition into Airline Maintenance Programs - Emma Galarza, Senior Technology Development Engineer, Delta Air Lines and Floris Staver, Robotics Software Engineer, Mainblades
Title TBC - John Prieto, Mgr. IFE and Wi-Fi Tech Services, United Airlines
Hard Lessons Learned from Flight Test Accidents - Jeffrey Guzzetti, President, Guzzetti Aviation Risk Discovery
New Disruptive Test Technologies for eVTOL Testing - Greg Sussman, Business Development Manager, NI
Senior Engineer, Technology Development - Automated Inspection and Machine Learning. Delta Air Lines.