BOOK SERIES UniSA KES members are involved in book series published by leading publishers Smart innovation systems and Technologies Www.springer. com/series/8767 Intelligent Systems Reference Library www.springer.com/series/8578 Advanced Information and Knowledge Processing: ww.springer. com/series/4738
BOOK SERIES KES members are involved in book series published by leading publishers. ◼ Smart Innovation, Systems and Technologies: www.springer.com/series/8767 ◼ Intelligent Systems Reference Library: www.springer.com/series/8578 ◼ Advanced Information and Knowledge Processing: www.springer.com/series/4738
University of South australia [o Intelligent Flight Data Monitoring System for Improving the Safety of Aviation Operations
University of South Australia Intelligent Flight Data Monitoring System for Improving the Safety of Aviation Operations
UUniversity of South Australia
University of South Australia
AIMS and objectives Develop an intelligent Flight Data Monitoring(FDM) system incorporating supervised learning Identify adverse trends and potential unsafe deviations from the accepted norms of flight operations Provide early warning signals to flight crew, and/or air traffic control staff Explanation to flight crew as to why the current flight operation is considered safe/unsafe
AIMS and Objectives ◼ Develop an intelligent Flight Data Monitoring (FDM) system incorporating supervised learning ◼ Identify adverse trends and potential unsafe deviations from the accepted norms of flight operations ◼ Provide early warning signals to flight crew, and/or air traffic control staff ◼ Explanation to flight crew as to why the current flight operation is considered safe/unsafe
Specific objectives UniSA To acquire flight data and other relevant information for flight operations and safety Develop Cl-based algorithms with incremental learning capabilities to categorise flight data and perform risk prediction To extract rules to explain the prediction from the ci-based algorithms To evaluate the effectiveness of the FDM system for aviation operations and safety
Specific Objectives ◼ To acquire flight data and other relevant information for flight operations and safety ◼ Develop CI-based algorithms with incremental learning capabilities to categorise flight data and perform risk prediction ◼ To extract rules to explain the prediction from the CI-based algorithms ◼ To evaluate the effectiveness of the FDM system for aviation operations and safety