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Optimal Mission Abort Policy for Systems Operating in a Random Environment.

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Summary
This summary is machine-generated.

This study introduces a new method to evaluate system survivability and mission success probability for critical systems facing internal failures and external shocks. It models mission aborts triggered by a specific number of shocks to balance survivability and success.

Keywords:
Mission abortmission success probabilityrescue procedureshock processsystem survivability

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Area of Science:

  • Reliability Engineering
  • System Survivability
  • Risk Management

Background:

  • Critical systems like aircraft and submarines use mission aborts to improve survivability.
  • Malfunctions in systems exposed to external impacts are often consequences of these impacts.
  • Traditional reliability models do not adequately address mission abort scenarios.

Purpose of the Study:

  • To develop a methodology for modeling and evaluating mission success probability and survivability.
  • To analyze systems experiencing both internal failures and external shocks.
  • To investigate a mission abort policy triggered by the mth shock.

Main Methods:

  • Development of a novel methodology for system reliability modeling.
  • Inclusion of mission abort policies based on shock occurrences.
  • Analysis of the trade-off between system survivability and mission success probability.

Main Results:

  • A method to quantify mission success probability and survivability under shock conditions.
  • Demonstration of the trade-off influenced by the choice of the decision variable 'm' (number of shocks).
  • An illustrative example using an unmanned aerial vehicle mission.

Conclusions:

  • The proposed methodology effectively models systems with internal failures and external shocks.
  • The decision variable 'm' is crucial for balancing system survivability and mission success.
  • This research provides a framework for optimizing mission abort strategies in critical systems.