Integrated system health management-based condition assessment for manned spacecraft avionics

This article presents a condition assessment model to evaluate the health condition of manned spacecraft avionics that enables the essential capabilities of a manned spacecraft and guarantees the mission success of space flight. Condition assessment based on the integrated system health management is introduced into manned spacecraft avionics to cope with the safety and maintenance necessity. Due to the complexity and the uncertainty of the system, it is a tough task before modular avionics emerged, and there is a rare research-concerning condition assessment for manned spacecraft avionics with fuzziness and simultaneous consideration in system level. A numerical example illustrates the proposed fuzzy evaluation model which takes all criteria into account from a holistic perspective, combines objective tests with subjective judgments and incorporates fuzziness and uncertainty into ranking the manned spacecraft avionics health level using fuzzy analytic hierarchy process with quantitative reliability analytical approaches. The proposed model is demonstrated to solve the condition assessment problem and the impact condition factors for the manned spacecraft avionics health management are revealed.

[1]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[2]  John F. Hanaway,et al.  Space shuttle avionics system , 1989 .

[3]  M. Kayton Avionics for manned spacecraft , 1989 .

[4]  V. Ramappan,et al.  Are components still the major problem: a review of electronic system and device field failure returns , 1992 .

[5]  J. F. Smith A summary of spacecraft avionics functions , 1993, [1993 Proceedings] AIAA/IEEE Digital Avionics Systems Conference.

[6]  R. Calabria,et al.  An engineering approach to Bayes estimation for the Weibull distribution , 1994 .

[7]  A. Anderman Modular avionics and open systems architecture for future manned space flight , 1994, Proceedings of 1994 IEEE Aerospace Applications Conference Proceedings.

[8]  D. Chang Applications of the extent analysis method on fuzzy AHP , 1996 .

[9]  Ching-Hsue Cheng Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function , 1997 .

[10]  D. K. Fisher Avionics: Integrating Spacecraft Technologies , 1998 .

[11]  J. Ruffa,et al.  MIDEX advanced modular and distributed spacecraft avionics architecture , 1998, 1998 IEEE Aerospace Conference Proceedings (Cat. No.98TH8339).

[12]  J. Buckley,et al.  Fuzzy hierarchical analysis , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[13]  Zeshui Xu,et al.  An Approach to Improving Consistency of Fuzzy Preference Matrix , 2003, Fuzzy Optim. Decis. Mak..

[14]  Ludmil Mikhailov,et al.  A fuzzy approach to deriving priorities from interval pairwise comparison judgements , 2004, Eur. J. Oper. Res..

[15]  R. Black,et al.  Next generation space avionics: layered system implementation , 2005, IEEE Aerospace and Electronic Systems Magazine.

[16]  Zhu Zongpeng The current situation of China manned aerospace technology and the direction for its further development , 2006 .

[17]  Gülçin Büyüközkan,et al.  A fuzzy optimization model for QFD planning process using analytic network approach , 2006, Eur. J. Oper. Res..

[18]  Rozann Whitaker,et al.  Validation examples of the Analytic Hierarchy Process and Analytic Network Process , 2007, Math. Comput. Model..

[19]  Zhigang Feng,et al.  Research on health evaluation system of liquid-propellant rocket engine ground-testing bed based on fuzzy theory , 2007 .

[20]  Zeshui Xu,et al.  An interactive method for fuzzy multiple attribute group decision making , 2007, Inf. Sci..

[21]  K. Reichard,et al.  Integrated Management of System Health in Space Applications , 2007, 2007 Annual Reliability and Maintainability Symposium.

[22]  D.L. Iverson System Health Monitoring for Space Mission Operations , 2008, 2008 IEEE Aerospace Conference.

[23]  Metin Dağdeviren,et al.  Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management , 2008, Inf. Sci..

[24]  Yago Montenegro Mendez Modeling/Evaluation of Modular Spacecraft Avionics Network Architectures , 2009 .

[25]  Bhaskar Saha,et al.  Prognostics for Electronics Components of Avionics Systems , 2009 .

[26]  Tim Baines,et al.  State-of-the-art in integrated vehicle health management , 2009 .

[27]  Kai Fan,et al.  Integration of fuzzy AHP and FPP with TOPSIS methodology for aeroengine health assessment , 2010, Expert Syst. Appl..

[28]  Michel Pignol,et al.  COTS-based applications in space avionics , 2010, 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010).

[29]  Jiuping Xu,et al.  Fuzzy-Like Multiple Objective Decision Making , 2011, Studies in Fuzziness and Soft Computing.

[30]  Abdul Rahman Ramli,et al.  Automatic Estimation of Inertial Navigation System Errors for Global Positioning System Outage Recovery , 2011 .

[31]  James Lyke,et al.  Performance Characterization of Space A Plug-and-Play Avionics Applique Sensor Interface Module , 2011 .

[32]  Lei Xu,et al.  Health management based on fusion prognostics for avionics systems , 2011 .