Study on Fault Prognostics and Health Management for UAV Article Swipe

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Jihui Pan , Wenqing Qu , Hao Xue , Lei Zhang , Liang Wu ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.3233/faia220569

With the improvement of automation and intelligence degree of unmanned aerial vehicle, its application scenarios and service scope continue to expand. The UAV system is complex and the task environment is changeable, which poses new challenges to its safety and reliability. Fault prediction and Health management (PHM) technology can effectively reduce the risk of mission interruption caused by faults, and improve the quality of UAV mission throughout its life cycle. Firstly, the framework of UAV PHM technology is proposed based on the basic concepts of UAV and PHM technology, and then the research status of UAV fault diagnosis and fault prediction technology is analyzed and summarized. Finally, the challenges of UAV fault diagnosis and prediction technology are discussed. In addition, the development trend of UAV PHM technology is summarized from four aspects: failure mechanism basis, condition monitoring technology, fault model construction and intelligent technology application, aiming to provide certain reference for the research and development of the new generation of UAV PHM technology.

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Electrical Engineering

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Physics

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Prognostics Scope (computer science) Automation Engineering Reliability engineering Fault (geology) Systems engineering Reliability (semiconductor) Fault detection and isolation Risk analysis (engineering) Computer science Power (physics) Actuator Programming language Electrical engineering Quantum mechanics Geology Medicine Seismology Mechanical engineering Physics

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Type: book-chapter
Language: en
Landing Page: https://doi.org/10.3233/faia220569
PDF: https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA220569
OA Status: hybrid
Cited By: 1
References: 4
Related Works: 10
OpenAlex ID: https://openalex.org/W4313210012

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DOI: https://doi.org/10.3233/faia220569

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Title: Study on Fault Prognostics and Health Management for UAV

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Type: book-chapter

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Language: en

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Publication year: 2022

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Publication date: 2022-12-13

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Authors: Jihui Pan, Wenqing Qu, Hao Xue, Lei Zhang, Liang Wu

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Landing page: https://doi.org/10.3233/faia220569

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PDF URL: https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA220569

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Concepts: Prognostics, Scope (computer science), Automation, Engineering, Reliability engineering, Fault (geology), Systems engineering, Reliability (semiconductor), Fault detection and isolation, Risk analysis (engineering), Computer science, Power (physics), Actuator, Programming language, Electrical engineering, Quantum mechanics, Geology, Medicine, Seismology, Mechanical engineering, Physics

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Cited by: 1

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