Prognostic and health management of critical aircraft systems and components: an overview

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dc.contributor.authorFu, Shuai
dc.contributor.authorAvdelidis, Nicolas Peter
dc.date.accessioned2023-10-09T12:29:33Z
dc.date.available2023-10-09T12:29:33Z
dc.date.issued2023-09-27
dc.descriptionThis article belongs to the Special Issue Feature Papers in Fault Diagnosis & Sensors 2023en_UK
dc.description.abstractPrognostic and health management (PHM) plays a vital role in ensuring the safety and reliability of aircraft systems. The process entails the proactive surveillance and evaluation of the state and functional effectiveness of crucial subsystems. The principal aim of PHM is to predict the remaining useful life (RUL) of subsystems and proactively mitigate future breakdowns in order to minimize consequences. The achievement of this objective is helped by employing predictive modeling techniques and doing real-time data analysis. The incorporation of prognostic methodologies is of utmost importance in the execution of condition-based maintenance (CBM), a strategic approach that emphasizes the prioritization of repairing components that have experienced quantifiable damage. Multiple methodologies are employed to support the advancement of prognostics for aviation systems, encompassing physics-based modeling, data-driven techniques, and hybrid prognosis. These methodologies enable the prediction and mitigation of failures by identifying relevant health indicators. Despite the promising outcomes in the aviation sector pertaining to the implementation of PHM, there exists a deficiency in the research concerning the efficient integration of hybrid PHM applications. The primary aim of this paper is to provide a thorough analysis of the current state of research advancements in prognostics for aircraft systems, with a specific focus on prominent algorithms and their practical applications and challenges. The paper concludes by providing a detailed analysis of prospective directions for future research within the field.en_UK
dc.description.sponsorshipEuropean Union funding: 955681en_UK
dc.identifier.citationFu S, Avdelidis NP. (2023) Prognostic and health management of critical aircraft systems and components: an overview, Sensors, Volume 23, Issue 19, September 2023, Article Number 8124en_UK
dc.identifier.issn1424-8220
dc.identifier.urihttps://doi.org/10.3390/s23198124
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20347
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectprognostics and health managementen_UK
dc.subjecthybrid modelen_UK
dc.subjectremaining useful lifeen_UK
dc.subjectphysics-based modelen_UK
dc.subjectdata driven modelen_UK
dc.subjectaircraft systemsen_UK
dc.subjectcondition-based maintenanceen_UK
dc.subjectpredictiveen_UK
dc.titlePrognostic and health management of critical aircraft systems and components: an overviewen_UK
dc.typeArticleen_UK

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