Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Marc Banghart"'
Autor:
Fatine Elakramine, Raed Jaradat, Niamat Ullah Ibne Hossain, Marc Banghart, Chad Kerr, Safae El Amrani
Publikováno v:
IEEE Transactions on Engineering Management. 69:4006-4018
Publikováno v:
2022 Annual Reliability and Maintainability Symposium (RAMS).
Autor:
Marc Banghart, Kimberly Cates
Publikováno v:
2021 Annual Reliability and Maintainability Symposium (RAMS).
Publikováno v:
Quality Engineering. 29:499-511
Military weapon systems often remain in service longer than anticipated. Systems must continue to operate safety and effectively while maintaining mission readiness. Degraders to readiness, such as high failure items, excessive repair times, long log
Publikováno v:
International Journal of Aviation, Aeronautics, and Aerospace.
Autor:
Marc Banghart
Publikováno v:
International Journal of Aviation, Aeronautics, and Aerospace.
Publikováno v:
2016 Annual Reliability and Maintainability Symposium (RAMS).
Failure Modes Effects Analysis (FMEA) has been utilized in engineering since the 1940s with the main goal of identifying failure modes through systematic evaluation of a system, product, or process. This method has been widely adopted across many ind
Publikováno v:
Volume 1: Fuels and Combustion, Material Handling, Emissions; Steam Generators; Heat Exchangers and Cooling Systems; Turbines, Generators and Auxiliaries; Plant Operations and Maintenance; Reliability, Availability and Maintainability (RAM); Plant Systems, Structures, Components and Materials Issues.
Human cognition, bias and error have been studied significantly over the past few decades and are utilized in several fields, including reliability and safety engineering. Research has indicated that both man-machine interfaces and training are criti
Autor:
Kara Fuller, Marc Banghart
Publikováno v:
2014 IEEE Aerospace Conference.
The objective of this contribution is to provide a review and suggest possible extensions of the Failure Mode Effects Analysis (FMEA), Hazard Risk Assessment (HRA) [2] and to demonstrate the importance of these tools to general probabilistic design f