TY - GEN
T1 - General models for system reliability and testability optimization considering multi mission profiles
AU - Shi, Junyou
AU - Li, Wenzhe
AU - Guo, Xuhao
AU - Yang, Yifan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/20
Y1 - 2017/10/20
N2 - Different kinds of operating environment and multiple mission conditions result in dynamic mission definitions, stages and profiles of complex systems like avionic systems in airplanes. A complex system usually consists multiple parts, units or subsystems which perform limited functions and are hardly under operation for all time. Based on such circumstances, traditional system reliability and testability (R&T) analysis may incur incompleteness, eventually resulting in testability optimization deviation. To solve this problem, six novel R&T integrated optimization models considering multi mission profiles and multi systems are introduced in this paper to improve testability design for adaptability in multi-mission situations: R&T optimization model for serial stationary mission profiles, parallel stationary mission profiles, stochastic serial mission profiles with exclusive mission stages, stochastic serial mission profiles with correlative mission stages, independent parallel mission profiles and identical parallel mission profiles. The proposed models are defined and designed based on normal working conditions. The validity and effectiveness of the given models can be verified when specific meanings of parameters is given according to real problems.
AB - Different kinds of operating environment and multiple mission conditions result in dynamic mission definitions, stages and profiles of complex systems like avionic systems in airplanes. A complex system usually consists multiple parts, units or subsystems which perform limited functions and are hardly under operation for all time. Based on such circumstances, traditional system reliability and testability (R&T) analysis may incur incompleteness, eventually resulting in testability optimization deviation. To solve this problem, six novel R&T integrated optimization models considering multi mission profiles and multi systems are introduced in this paper to improve testability design for adaptability in multi-mission situations: R&T optimization model for serial stationary mission profiles, parallel stationary mission profiles, stochastic serial mission profiles with exclusive mission stages, stochastic serial mission profiles with correlative mission stages, independent parallel mission profiles and identical parallel mission profiles. The proposed models are defined and designed based on normal working conditions. The validity and effectiveness of the given models can be verified when specific meanings of parameters is given according to real problems.
KW - Multi-mission profiles
KW - Reliability optimization
KW - Testability optimization
UR - https://www.scopus.com/pages/publications/85039941459
U2 - 10.1109/PHM.2017.8079177
DO - 10.1109/PHM.2017.8079177
M3 - 会议稿件
AN - SCOPUS:85039941459
T3 - 2017 Prognostics and System Health Management Conference, PHM-Harbin 2017 - Proceedings
BT - 2017 Prognostics and System Health Management Conference, PHM-Harbin 2017 - Proceedings
A2 - Zhang, Bin
A2 - Peng, Yu
A2 - Liao, Haitao
A2 - Liu, Datong
A2 - Wang, Shaojun
A2 - Miao, Qiang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE Prognostics and System Health Management Conference, PHM-Harbin 2017
Y2 - 9 July 2017 through 12 July 2017
ER -