국내 최대 기계 및 로봇 연구정보

기술보고서

기술보고서 게시판 내용
타이틀	Object-Oriented Bayesian Networks (OOBN) for Aviation Accident Modeling and Technology Portfolio Impact Assessment
저자	Shih, Ann T.;; Ancel, Ersin;; Jones, Sharon M.
Keyword	AIRCRAFT ACCIDENTS;; AIRCRAFT SAFETY;; BAYES THEOREM;; DAMAGE ASSESSMENT;; FLIGHT SAFETY;; IMPACT;; MAINTENANCE;; NATIONAL AIRSPACE SYSTEM;; OBJECT-ORIENTED PROGRAMMING;; SAFETY DEVICES;; TECHNOLOGY ASSESSMENT
URL	http://hdl.handle.net/2060/20120015511
보고서번호	NF1676L-14765
발행년도	2012
출처	NTRS (NASA Technical Report Server)
ABSTRACT	The concern for reducing aviation safety risk is rising as the National Airspace System in the United States transforms to the Next Generation Air Transportation System (NextGen). The NASA Aviation Safety Program is committed to developing an effective aviation safety technology portfolio to meet the challenges of this transformation and to mitigate relevant safety risks. The paper focuses on the reasoning of selecting Object-Oriented Bayesian Networks (OOBN) as the technique and commercial software for the accident modeling and portfolio assessment. To illustrate the benefits of OOBN in a large and complex aviation accident model, the in-flight Loss-of-Control Accident Framework (LOCAF) constructed as an influence diagram is presented. An OOBN approach not only simplifies construction and maintenance of complex causal networks for the modelers, but also offers a well-organized hierarchical network that is easier for decision makers to exploit the model examining the effectiveness of risk mitigation strategies through technology insertions.