JERAJournal of Electronic Research and Application2208-35022208-3510Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jera.v10i4.14913ArticleResearch on Fault Diagnosis and Intelligent Maintenance Technology of Airborne Electronic Equipmenthttps://artdesignp.com/journal/JERA/10/4/10.26689/jera.v10i4.14913JinZhaopeng20261042026-05-21With the increasing integration and complexity of avionic systems, fault diagnosis and intelligent maintenance technologies for airborne electronic equipment have become critical supports for ensuring flight safety and improving equipment integrity. This paper systematically reviews the research status and development context of fault diagnosis technologies for airborne electronic equipment. It summarizes major research achievements and technological advances in the field from the perspectives of traditional fault diagnosis methods, integrated intelligent diagnosis strategies, artificial intelligence-driven technologies, data-driven methods, and intelligent maintenance assistance systems. On this basis, core bottlenecks in current research are analyzed, including data dependency, poor model interpretability, and insufficient generalization ability. Future development directions are prospected, such as few-shot learning, explainable AI, digital twin, and edge intelligence.

Li J, Qin G, 2002, Integrated Intelligent Fault Diagnosis System for Airborne Electronic Equipment. Avionics Technology, 33(2): 25–29.

Hai S, 2017, Big Data Promotes Intelligent Transformation of Mechanical Fault Diagnosis: Interview with Professor Yaguo Lei, Young Changjiang Scholar, Xi’an Jiaotong University. Aeronautical Manufacturing Technology, 2017(20)：28–29.

Zhang J, Fan X, Nie T, 2006, Research on Intelligent Fault Diagnosis Technology of Airborne Electronic Equipment. Modern Electronics Technique, 2006(19): 94–96.

Yang L, 2026, Research on Electronic Equipment Fault Diagnosis Technology Driven by Artificial Intelligence. China Electronic Market, 32(1): 136–138.

Gao L, Li W, Zhao Y, et al., 2026, Research on Key Technologies of Intelligent Security Integrated Management and Control for Information Production. Railway Computer Application, 35(3): 36–41.

Nie T, 2006, Research on Intelligent Fault Diagnosis Technology of Airborne Electronic Equipment. Modern Electronics Technique, 2006(19): 94–96.

Yang H, Du Y, 2025, Research on Fault Diagnosis and Intelligent Maintenance Technology of SDH Equipment in Power System Communication. Consumer Electronics, 2025.

Lin Y, 2019, Research on Fault Diagnosis Method of Aircraft Auto-Transformer Rectifier Unit, thesis, Nanjing University of Aeronautics and Astronautics.

Hu Z, 2019, Research on Design of Intelligent Fault Diagnosis System for Airborne Electronic System Equipment. China Flight, 2019(13), 0135-0135,0149.

Wei S, 2015, Brief Analysis on Intelligent Fault Diagnosis Technology of Airborne Electronic Equipment. Engineering Technology, 2015(12): 00352–00352.

Li J, 2002, Research on Bayesian Network Fault Diagnosis and Maintenance Decision Method and Application, thesis, National University of Defense Technology.

Shi Z, Chen X, 2013, Research on Intelligent Fault Diagnosis System of Shipborne Radar. Ship Electronic Engineering, 33(3): 110–113.

Ruan J, 2019, Intelligent Maintenance Assistance System for Airborne Equipment based on Augmented Reality, thesis, South China University of Technology.

Si J, 2020, Research on Data-Driven Fault Diagnosis Technology of Large Aircraft PDU Components, thesis, Xidian University.

Fan F, 2023, Research and Analysis on Fault Diagnosis Technology of Airborne Electronic Equipment. China Plant Engineering, 2023(1): 146–148.