Predictive maintenance in the military domain: A systematic review of the literature
العنوان: | Predictive maintenance in the military domain: A systematic review of the literature |
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المؤلفون: | Jovani Dalzochio, Rafael Kunst, Jorge Luis Victória Barbosa, Pedro Clarindo da Silva Neto, Edison Pignaton, Carla Schwengber ten Caten, Alex de Lima Teodoro da Penha |
المصدر: | ACM Computing Surveys. |
بيانات النشر: | Association for Computing Machinery (ACM), 2023. |
سنة النشر: | 2023 |
مصطلحات موضوعية: | General Computer Science, Theoretical Computer Science |
الوصف: | Military troops rely on maintenance management projects and operations to preserve the materials’ ordinary conditions or restore them to combat or military training. Maintenance management in the defense domain has its particularities, such as those related to the type of equipment operated, the environment and operating conditions, the need to maintain equipment readiness in cases of external aggression, and the security of the information. This study aims to understand the challenges, principles, scenarios, techniques, and open questions of predictive maintenance (PdM) in the military domain. We conducted a systematic literature review that resulted in the discussion of 43 articles, leading to the identification of 23 challenges and principles, 4 scenarios where predictive maintenance is crucial, besides discussing techniques used for PdM in the military domain. Our results contribute to understanding the perspective of PdM in the defense context. |
تدمد: | 1557-7341 0360-0300 |
الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::2406a7fb9e9aa3030dd04112c36fba22Test https://doi.org/10.1145/3586100Test |
رقم الانضمام: | edsair.doi...........2406a7fb9e9aa3030dd04112c36fba22 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 15577341 03600300 |
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