Skip to main content

Research Repository

Advanced Search

An efficient phased mission reliability analysis for autonomous vehicles

Remenyte-Prescott, Rasa; Andrews, John; Chung, Paul

Authors

JOHN ANDREWS john.andrews@nottingham.ac.uk
Professor of Infrastructure Asset Management

Paul Chung



Abstract

Autonomous systems are becoming more commonly used, especially in hazardous situations. Such systems are expected to make their own decisions about future actions when some capabilities degrade due to failures of their subsystems. Such decisions are made without human input, therefore they need to be well-informed in a short time when the situation is analysed and future consequences of the failure are estimated. The future planning of the mission should take account of the likelihood of mission failure. The reliability analysis for autonomous systems can be performed using the methodologies developed for phased mission analysis, where the causes of failure for each phase in the mission can be expressed by fault trees.
Unmanned Autonomous Vehicles (UAVs) are of a particular interest in the aeronautical industry, where it is a long term ambition to operate them routinely in civil airspace. Safety is the main requirement for the UAV operation and the calculation of failure probability of each phase and the overall mission is the topic of this paper. When components or sub-systems fail or environmental conditions throughout the mission change, these changes can affect the future mission. The new proposed methodology takes into account the available diagnostics data and is used to predict future capabilities of the UAV in real-time. Since this methodology is based on the efficient BDD method, the quickly provided advice can be used in making decisions. When failures occur appropriate actions are required in order to preserve safety of the autonomous vehicle. The overall decision making strategy for autonomous vehicles is explained in this paper. Some limitations of the methodology are discussed and further improvements are presented based on experimental results.

Citation

Remenyte-Prescott, R., Andrews, J., & Chung, P. (2010). An efficient phased mission reliability analysis for autonomous vehicles. Reliability Engineering and System Safety, 95(3), https://doi.org/10.1016/j.ress.2009.10.002

Journal Article Type Article
Publication Date Jan 1, 2010
Deposit Date Jul 31, 2014
Publicly Available Date Mar 28, 2024
Journal Reliability Engineering and System Safety
Electronic ISSN 0951-8320
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 95
Issue 3
DOI https://doi.org/10.1016/j.ress.2009.10.002
Public URL https://nottingham-repository.worktribe.com/output/1013077
Publisher URL http://www.sciencedirect.com/science/article/pii/S0951832009002397
Additional Information NOTICE: this is the author’s version of a work that was accepted for publication in Reliability Engineering & System Safety. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Reliability Engineering & System Safety, 95(3), (2010), doi: 10.1016/j.ress.2009.10.002

Files





You might also like



Downloadable Citations