Development and Implementation of a Framework for Aerospace Vehicle Reasoning (FAVER)

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dc.contributor.authorEzhilarasu, Cordelia Mattuvarkuzhali
dc.contributor.authorJennions, Ian
dc.date.accessioned2021-08-11T15:15:09Z
dc.date.available2021-08-11T15:15:09Z
dc.date.issued2021-07-28
dc.description.abstractThis paper discusses the development and implementation of the architecture of a Framework for A erospace Ve hicle R easoning, ‘FAVER’. Integrated Vehicle Health Management systems require a holistic view of the aircraft to isolate faults cascading between aircraft systems. FAVER is a system-agnostic framework developed to isolate such propagating faults by incorporating Digital Twins (DTs) and reasoning techniques. The flexibility of FAVER to work with different types and scales of DTs and diagnostics, and its ability to adapt and expand for previously unknown faults and new systems are demonstrated in this paper. The paper also shows the novel combination of relationship matrix and fault attributes database used to structure the knowledge of FAVER’s expert system. The paper provides the working mechanism of FAVER’s reasoning and its ability to isolate faults at the system level, identify their root causes, and predict the cascading effects at the vehicle level. Four aircraft systems are used for demonstration purposes: i) the Electrical Power System, ii) the Fuel System, iii) the Engine, and iv) the Environmental Control System, and the use case scenarios are adapted from real aircraft incidents. The paper also discusses the pros and cons of FAVER’s reasoning via demonstrations and evaluates the performance of FAVER’s reasoning through a comparative study with a supervised neural network model.en_UK
dc.identifier.citationEzhilarasu CM, Jennions IK. (2021) Development and Implementation of a Framework for Aerospace Vehicle Reasoning (FAVER). IEEE Access, Volume 9, 2021, pp. 108028-108048en_UK
dc.identifier.issn2169-3536
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2021.3100865
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16988
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectOSA-CBMen_UK
dc.subjectaircraft accidentsen_UK
dc.subjectcascading faultsen_UK
dc.subjectaircraft systemen_UK
dc.subjecthealth monitoringen_UK
dc.titleDevelopment and Implementation of a Framework for Aerospace Vehicle Reasoning (FAVER)en_UK
dc.typeArticleen_UK

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