Purpose

This study aims to elaborate on the existing link between maintenance practices and the digital world while also highlighting any unaddressed potential for digital transformation in aircraft maintenance. Additionally, explore how digital technologies contribute to optimizing efficiency within the continuing airworthiness management (CAM) processes.

Design/methodology/approach

A literature review was performed to provide a precise review of the authority regulations on CAM processes and existing literature on digital transformation, including artificial intelligence, machine learning, neural network and big data in civil aircraft maintenance and continuing airworthiness processes. This method is used to organize, analyze and structure the body of literature to identify research gaps in the selected scope of the study.

Findings

The high position of digital technologies in preventive and predictive maintenance and the need for legislative development for using them in CAM are emphasized. Moreover, it is shown in which area of CAM scientific research has been performed regarding the application of frontier digital technologies. In addition, the gaps between maintenance practices and the digital world, along with the potential scopes of digital transformation which has not been well addressed, are identified. And finally, how digital technologies can effectively increase efficiency in CAM processes is discussed.

Originality/value

To the best of our knowledge, no study comprehensively determined the body of existing knowledge on the aspects of digitalization related to the field of continuing airworthiness management and aircraft maintenance. The results of this study provide a positive contribution to airlines, policymakers, manufacturers and maintenance organizations achieving additional benefits from the implementation of digital technologies in the CAM processes.

中文翻译：

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持续适航管理框架及应用中的前沿数字技术分析

目的

本研究旨在详细阐述维护实践与数字世界之间的现有联系，同时强调飞机维护数字化转型中尚未解决的潜力。此外，探索数字技术如何有助于优化持续适航管理 (CAM) 流程中的效率。

设计/方法论/途径

通过文献综述，对 CAM 流程的权威法规和数字化转型的现有文献进行了精确审查，包括民用飞机维护和持续适航流程中的人工智能、机器学习、神经网络和大数据。该方法用于组织、分析和构建文献主体，以确定所选研究范围内的研究差距。

发现

强调了数字技术在预防性和预测性维护中的重要地位以及在 CAM 中使用它们的立法发展的必要性。此外，还显示了前沿数字技术应用的 CAM 科学研究在哪些领域进行。此外，还确定了维护实践与数字世界之间的差距，以及尚未得到很好解决的数字化转型的潜在范围。最后，讨论了数字技术如何有效提高 CAM 流程的效率。

原创性/价值

据我们所知，还没有研究全面确定与持续适航管理和飞机维护领域相关的数字化方面的现有知识体系。这项研究的结果为航空公司、政策制定者、制造商和维护组织从在 CAM 流程中实施数字技术中获得额外收益做出了积极贡献。