PROGNOSTICS AND HEALTH MANAGEMENT FOR ELECTRIFIED AIRCRAFT PROPULSION: STATE OF THE ART AND CHALLENGES

被引:0
|
作者
Tang, Liang [1 ]
Saxena, Abhinav [1 ]
Younsi, Karim [1 ]
机构
[1] GE Aerosp Res, Niskayuna, NY 12309 USA
关键词
Prognostics and Health Management (PHM); electrified aircraft propulsion (EAP); model-based system engineering (MBSE); POWER ELECTRONIC CONVERTERS; SYSTEMS; IGBT;
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In recent years, the aviation industry has witnessed a transformative wave of innovation in electrified aircraft propulsion (EAP), driven by sustainability and efficiency goals. Integration of novel electrical subsystems, including high-voltage power electronics, motors/generators, and energy storage devices, has introduced intricate complexities. In this context, an intensified focus on Prognostics and Health Management (PHM) is imperative, considering the heightened reliability needs in a transportation propulsion application. This paper extensively analyzes the current state-of-the-art in PHM applicable to various EAP systems and components crucial for the functioning of electric aircraft. Typical fault modes and fault management strategies are analyzed at various levels of systems hierarchy. An integral aspect of our investigation involves the identification of critical gaps within existing PHM frameworks, guiding the research agenda for enhanced reliability and performance. Moreover, the distributed nature and increasing complexity of electric propulsion systems underscore the importance of Model-Based Systems Engineering (MBSE). We advocate for the exploration of MBSE not only to inform the design and implementation of PHM solutions but also to facilitate certification and Verification and Validation (V&V) activities. Additionally, the paper offers insights into existing tools and simulation software packages capable of integrating traditional gas turbine modules with electric subsystems, as well as simulating various faulty conditions in EAP relevant to PHM development. Key gaps in these tools are emphasized, drawing attention to areas that require further refinement and development. This comprehensive exploration aims to pave the way for future advancements in PHM tailored for the unique challenges posed by electric aircraft propulsion systems.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Prognostics Health Management of Condition-Based Maintenance for Aircraft Engine Systems
    Lv, Zhi
    Wang, Jian
    Zhang, Guigang
    Huang Jiayang
    2015 IEEE CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (PHM), 2015,
  • [42] Research of the Military Aircraft Maintenance Support Mode Based on the Prognostics and Health Management
    Mao, Deyao
    Lv, Chuan
    Shi, Jianming
    Zou, Yingzhi
    Guo, Zhiqi
    2010 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE, 2010, : 376 - +
  • [43] Challenges, issues, and lessons learned implementing prognostics for propulsion systems
    Hess, Andrew
    Frith, Peter
    Suarez, Eva
    Proceedings of the ASME Turbo Expo 2006, Vol 2, 2006, : 927 - 935
  • [44] Ontologies for prognostics and health management of production systems: overview and research challenges
    Franciosi, Chiara
    Eslami, Yasamin
    Lezoche, Mario
    Voisin, Alexandre
    JOURNAL OF INTELLIGENT MANUFACTURING, 2024, 36 (4) : 2223 - 2253
  • [45] Overcoming Challenges Associated with Developing Industrial Prognostics and Health Management Solutions
    Toothman, Maxwell
    Braun, Birgit
    Bury, Scott J.
    Moyne, James
    Tilbury, Dawn M.
    Ye, Yixin
    Barton, Kira
    SENSORS, 2023, 23 (08)
  • [46] Prognostics and health management of photovoltaic systems based on deep learning: A state-of-the-art review and future perspectives
    Chang, Zhonghao
    Han, Te
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2024, 205
  • [47] A survey of intelligent control and health management technologies for aircraft propulsion systems
    Litt, Jonathan S.
    Simon, Donald L.
    Garg, Sanjay
    Guo, Ten-Heui
    Mercer, Carolyn
    Millar, Richard
    Behbahani, Alireza
    Bajwa, Anupa
    Jensen, Daniel T.
    Journal of Aerospace Computing, Information and Communication, 2004, (DEC.): : 543 - 563
  • [48] Charging Technology for Electric Aircraft: State of the Art, Trends, and Challenges
    Liang, Yawen
    Mouli, Gautham Ram Chandra
    Bauer, Pavol
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (03): : 6761 - 6788
  • [49] Comparison of Electrified Aircraft Propulsion Drive Systems with Different Electric Motor Topologies
    Sirimanna, Samith
    Thanatheepan, Balachandran
    Lee, Dongsu
    Agrawal, Shivang
    Yu, Yangxue
    Wang, Yuyao
    Anderson, Aaron
    Banerjee, Arijit
    Haran, Kiruba
    JOURNAL OF PROPULSION AND POWER, 2021, 37 (05) : 733 - 747
  • [50] A Comparison of Model Predictive Control Architectures for Application to Electrified Aircraft Propulsion Systems
    Hill, Elyse D.
    Simon, Donald L.
    Connolly, Joseph W.
    JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2025, 147 (04):