Normalised diagnostic contribution index (NDCI) integration to multi objective sensor optimisation framework (MOSOF)—An environmental control system case

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dc.contributor.authorSuslu, Burak
dc.contributor.authorAli, Fakhre
dc.contributor.authorJennions, Ian K.
dc.date.accessioned2025-06-05T09:48:37Z
dc.date.available2025-06-05T09:48:37Z
dc.date.freetoread2025-06-05
dc.date.issued2025-05-01
dc.date.pubOnline2025-04-23
dc.description.abstractIn modern aerospace systems, effective sensor optimisation is essential for ensuring reliable diagnostics, efficient resource allocation, and proactive maintenance. This paper presents Normalised Diagnostic Contribution Index (NDCI) integration into the Multi-Objective Sensor Optimisation Framework (MOSOF) to address application-specific performance nuances. Building on previous work, the proposed approach leverages a multi-objective genetic algorithm to optimise key criteria, including performance, cost, reliability management, and compatibility. NDCI is derived from simulation data obtained via the Boeing 737-800 Environmental Control System (ECS) using the SESAC platform, where degradation level readings across four fault modes are analysed. The framework evaluates sensor performance from the perspectives of Original Equipment Manufacturers (OEM), Airlines, and Maintenance Repair Overhaul (MRO) organisations. Validation against the Minimum Redundancy Maximum Relevance (mRMR) method highlights the distinct advantage of NDCI by identifying an optimal set of three sensors compared to mRMR’s six-sensor solution, and MOSOF’s multi-objective insertion enhances sensor deployment for different stakeholders. This integration not only expands the feasible solution space for sensor-pair configurations but also emphasises diagnostic value over redundancy. Overall, the enhanced NDCI-MOSOF offers a scalable, multi-stakeholder approach for next-generation sensor optimisation and predictive maintenance in complex aerospace systems. The results demonstrate significant improvements in diagnostics efficiency for stakeholders.
dc.description.journalNameSensors
dc.description.sponsorshipRepublic of Turkey’s Ministry of National Education
dc.format.mediumElectronic
dc.identifier.citationSuslu B, Ali F, Jennions IK. (2025) Normalised diagnostic contribution index (NDCI) integration to multi objective sensor optimisation framework (MOSOF)—An environmental control system case. Sensors, Volume 25, Issue 9, May 2025, Article number 2661en_UK
dc.identifier.eissn1424-8220
dc.identifier.elementsID672907
dc.identifier.issn1424-8220
dc.identifier.issueNo9
dc.identifier.paperNo2661
dc.identifier.urihttps://doi.org/10.3390/s25092661
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23979
dc.identifier.volumeNo25
dc.languageEnglish
dc.language.isoen
dc.publisherMDPIen_UK
dc.publisher.urihttps://www.mdpi.com/1424-8220/25/9/2661
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectmulti-objective sensor optimisationen_UK
dc.subjectnormalised diagnostic contribution indexen_UK
dc.subjectaircraften_UK
dc.subjectenvironmental control systemsen_UK
dc.subjectdiagnosticsen_UK
dc.subjectcomplex systemsen_UK
dc.subjecthealth managementen_UK
dc.subject4605 Data Management and Data Scienceen_UK
dc.subject46 Information and Computing Sciencesen_UK
dc.subject40 Engineeringen_UK
dc.subjectAnalytical Chemistryen_UK
dc.subject3103 Ecologyen_UK
dc.subject4008 Electrical engineeringen_UK
dc.subject4009 Electronics, sensors and digital hardwareen_UK
dc.subject4104 Environmental managementen_UK
dc.subject4606 Distributed computing and systems softwareen_UK
dc.titleNormalised diagnostic contribution index (NDCI) integration to multi objective sensor optimisation framework (MOSOF)—An environmental control system caseen_UK
dc.typeArticle
dc.type.subtypeJournal Article
dcterms.dateAccepted2025-04-21

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