The Extended Dynamic Fault Tree Model for Fault-tolerant OBDH Software of Microsatellite

Mingliang Wang

Abstract


This paper presents the extended dynamic fault tree (eDFT) model for fault-tolerant On-board Data Handling (OBDH) software used in microsatellite. For high reliability, in case of the primary processor failure, hot/warm spare automatically and uninterruptedly start torun the OBDH software without critical data missing. Memory with triple-modular redundancy and communication bus with spare are frequently employed in OBDH subsytem design. The important feature of OBDH software which is different from hardware lies in software reconfiguration/redundancy. In safe mode, some of OBDH software modules, even the whole software, can be reconfigured. Because of the limitation of traditional fault tree regardless of dynamic redundancy, the eDFT must model this case to evaluate the instantaneous reliability of OBDH software. Time-to-failure tree (TTFT) can be used to implement the conversion of eDFT model. The result shows this approach is much fast and prompt, and the acceleration value is in direct proportion to TTFT units.


Full Text:

PDF

References


Aliee H.,ZarandiH.R. (2013). A fast and accurate fault treeanalysis based on stochastic logic implemented on field programmable gate arrays, IEEE Transaction on Reliability, 62(1),13-22.

BoudaliH., CrouzenP., StoelingaM.(2010). A rigorous, compositional, and extensible framework for dynamic fault tree analysis, IEEE Transaction on Dependable Secure Computing, 7(2), 128-143.

Dugan J.B., Bavuso S.J., Boyd M.A. (1992).Dynamic fault tree modelsfor fault tolerant computer systems, IEEE Transaction on Reliability, 41(3),363-377.

Feng H.Y.,Peng Y.H.,Gong J.S.,Yin F.L. (2016). Numerical Simulation of Two-Dimensional Large-Amplitude Acoustic Oscillations, International journal of heat and technology, 34(1), 143-150.

Gabriele M., Ferdinando C. (2012). MatCarloRe: An integrated FT and Monte Carlo Simulink toolfor the reliability assessment of dynamic fault tree, Expert Systems with Applications, 39, 10334-10342.

Karanki D.R., GopikaV., Sanyasi Rao V.V.S., KushwahaH.S., VermaA.K., SrividyaA.(2009).Dynamic fault tree analysis using Monte Carlo simulation in probabilisticsafety assessment, Reliability Engineering and System Safety, 94(4), 872-883.

Ruijters E., Stoelinga M. (2015). Fault tree analysis: A survey of the state-of-the-art in modeling, analysis and tools, Computer Science Review, I5-I6,29-30.

SmothermanM., ZemoudehK. (1989).Nonhomogeneous Markov Model for Phased-Mission Reliability Analysis”, IEEE Transaction on Reliability, 38(5), 585-590.

SomaniA.K.,Ritcey J.A.,Au S.H.L. (1992). Computationally efficient phased-mission reliability analysis for systems with variable configurations, IEEE Transactions on Reliability, 41(4), 504–511.

Tanya V., Muhammad F., Sweeting M.N., Vitano V.I.(2011). A novel autonomous low-cost on-board data handling architecturefor a pin-point planetary lander, Acta Astronautica,68(3),811-829.


Refbacks

  • There are currently no refbacks.


Revista de la Facultad de Ingeniería,

ISSN: 2443-4477; ISSN-L:0798-4065

Edif. del Decanato de la Facultad de Ingeniería,

3º piso, Ciudad Universitaria,

Apartado 50.361, Caracas 1050-A,

Venezuela.

© Universidad Central de Venezuela