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• W4297991170 abstract "With the improvement of automation, the complexity of aircraft systems is increasing, resulting in the difficulty of finding out the real cause for a multitude of fault symptoms originating from different aircraft systems. Once a failure arises during system operation, it may cause great economic losses and even catastrophic consequences. A critical effort to maintain aircraft systems and enhance aircraft safety is the development of Onboard Maintenance System (OMS). As vital parts of the OMS, reasoning techniques play a crucial part in realizing real-time and more accurate fault diagnosis. Therefore, the research on reasoning techniques for OMS is of great significance. This paper is focused on the reasoning techniques, which belong to the field of Artificial Intelligence, and their applications in OMS. First, reasoning strategies are described. Second, a comprehensive review of different reasoning methods, such as knowledge-based reasoning, model-based reasoning, data-driven reasoning and hybrid reasoning, is given. A number of practical issues in applying these methods in the field of aerospace are explored, respectively. Besides, the advantages and the disadvantages of each method are discussed. Third, some architectures for reasoning are presented. Then, the reasoning approach applied in OMS of Boeing 777 is outlined. Lastly, a summary of this review is given, the recommendations for further research on development of reasoning techniques used in OMS are made." @default.
• W4297991170 created "2022-10-01" @default.
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• W4297991170 date "2022-09-30" @default.
• W4297991170 modified "2023-10-17" @default.
• W4297991170 title "A Review of Reasoning Techniques for Onboard Maintenance System" @default.
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• W4297991170 doi "https://doi.org/10.1007/978-981-19-2635-8_26" @default.
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