Designing an audit-safe analytics architecture for aircraft maintenance decision support in regulated aviation environments.
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| Title: | Designing an audit-safe analytics architecture for aircraft maintenance decision support in regulated aviation environments. |
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| Authors: | Onilede, Moses Olushola1 (AUTHOR) monilede@encycloamts.com |
| Source: | Aircraft Engineering & Aerospace Technology. 2026, Vol. 98 Issue 6/7, p876-886. 11p. |
| Subjects: | Decision support systems, Rule-based programming, Airplane maintenance, Condition-based maintenance, Aviation law, Safety, Supervisory control systems |
| Abstract: | Purpose: This study aims to propose an audit-safe analytics architecture to integrate predictive maintenance decision support into regulated aircraft maintenance environments while preserving deterministic rule authority, regulatory compliance and human accountability. Design/methodology/approach: A layered system architecture was developed that separates probabilistic analytics from deterministic rule engines derived from approved maintenance data. Governance controls, including advisory containment, traceability, version control and human-in-the-loop oversight, were embedded at the architectural level. A structured validation protocol evaluated rule primacy enforcement, audit reconstruction capability and advisory containment across representative maintenance scenarios. Findings: The results demonstrate that predictive analytics can enhance situational awareness and planning without transferring decision-making authority from certified personnel. Structural separation between advisory models and compliance logic mitigates automation overreach and preserves audit defensibility. Practical implications: This framework provides a governance-aligned blueprint for deploying analytics within Part 145 and airline maintenance organizations without compromising continuing airworthiness or safety management system obligations. Originality/value: This study reframes predictive maintenance integration as an architectural governance problem rather than an algorithmic optimization challenge, offering a defensible pathway for analytics adoption in safety-critical aviation contexts. [ABSTRACT FROM AUTHOR] |
| Copyright of Aircraft Engineering & Aerospace Technology is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 195073033 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Designing an audit-safe analytics architecture for aircraft maintenance decision support in regulated aviation environments. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Onilede%2C+Moses+Olushola%22">Onilede, Moses Olushola</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> monilede@encycloamts.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Aircraft+Engineering+%26+Aerospace+Technology%22">Aircraft Engineering & Aerospace Technology</searchLink>. 2026, Vol. 98 Issue 6/7, p876-886. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Decision+support+systems%22">Decision support systems</searchLink><br /><searchLink fieldCode="DE" term="%22Rule-based+programming%22">Rule-based programming</searchLink><br /><searchLink fieldCode="DE" term="%22Airplane+maintenance%22">Airplane maintenance</searchLink><br /><searchLink fieldCode="DE" term="%22Condition-based+maintenance%22">Condition-based maintenance</searchLink><br /><searchLink fieldCode="DE" term="%22Aviation+law%22">Aviation law</searchLink><br /><searchLink fieldCode="DE" term="%22Safety%22">Safety</searchLink><br /><searchLink fieldCode="DE" term="%22Supervisory+control+systems%22">Supervisory control systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: This study aims to propose an audit-safe analytics architecture to integrate predictive maintenance decision support into regulated aircraft maintenance environments while preserving deterministic rule authority, regulatory compliance and human accountability. Design/methodology/approach: A layered system architecture was developed that separates probabilistic analytics from deterministic rule engines derived from approved maintenance data. Governance controls, including advisory containment, traceability, version control and human-in-the-loop oversight, were embedded at the architectural level. A structured validation protocol evaluated rule primacy enforcement, audit reconstruction capability and advisory containment across representative maintenance scenarios. Findings: The results demonstrate that predictive analytics can enhance situational awareness and planning without transferring decision-making authority from certified personnel. Structural separation between advisory models and compliance logic mitigates automation overreach and preserves audit defensibility. Practical implications: This framework provides a governance-aligned blueprint for deploying analytics within Part 145 and airline maintenance organizations without compromising continuing airworthiness or safety management system obligations. Originality/value: This study reframes predictive maintenance integration as an architectural governance problem rather than an algorithmic optimization challenge, offering a defensible pathway for analytics adoption in safety-critical aviation contexts. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Aircraft Engineering & Aerospace Technology is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 876 Subjects: – SubjectFull: Decision support systems Type: general – SubjectFull: Rule-based programming Type: general – SubjectFull: Airplane maintenance Type: general – SubjectFull: Condition-based maintenance Type: general – SubjectFull: Aviation law Type: general – SubjectFull: Safety Type: general – SubjectFull: Supervisory control systems Type: general Titles: – TitleFull: Designing an audit-safe analytics architecture for aircraft maintenance decision support in regulated aviation environments. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Onilede, Moses Olushola IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 17488842 Numbering: – Type: volume Value: 98 – Type: issue Value: 6/7 Titles: – TitleFull: Aircraft Engineering & Aerospace Technology Type: main |
| ResultId | 1 |
