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Data Driven Modelling for the Estimation of Probability of Loss of Control of Typical Fighter Aircraft

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9468))

Abstract

Loss of control of aircraft is one of the catastrophic safety critical events in the aerospace domain, which results usually into risks of loss of human lives and/or environmental hazards. Triggering of this undesired event could be at any level of hardware and/or software in the digital fly-by-wire fighter aircraft. The contributing factors for this undesirable event and the interrelationships among the basic events are to be carefully accounted, while estimating the loss of control of the fighter aircraft, probabilistically. Components which have the potential to cause failures are required to be treated carefully, by properly considering the failure modes of those components. This paper brings out, the data driven methodology to estimate the probability of control of the aircraft considering all the interdependent components along with the associated failure modes, which have the potential to trigger the occurrence of the undesired event-‘Loss of Control of Aircraft’. The approach presented here would serve as a guideline for estimating the PLOC of any types of aircraft.

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Acknowledgment

This work was executed in Aeronautical Development Agency, Bangalore, for the project Tejas-the Light Combat Aircraft, and generalized for confidentiality.

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Correspondence to Antony Gratas Varuvel .

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© 2015 Springer International Publishing Switzerland

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Varuvel, A.G. (2015). Data Driven Modelling for the Estimation of Probability of Loss of Control of Typical Fighter Aircraft. In: Prasath, R., Vuppala, A., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2015. Lecture Notes in Computer Science(), vol 9468. Springer, Cham. https://doi.org/10.1007/978-3-319-26832-3_40

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  • DOI: https://doi.org/10.1007/978-3-319-26832-3_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26831-6

  • Online ISBN: 978-3-319-26832-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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