Application and challenges of deep neural network in fault diagnosis of aviation equipment

Sen Wang; Peng Li; Wei Niu

doi:10.1117/12.2640466

15 July 2022 Application and challenges of deep neural network in fault diagnosis of aviation equipment

Sen Wang, Peng Li, Wei Niu

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 122580I (2022) https://doi.org/10.1117/12.2640466
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

With the development of big data, artificial intelligence and other technologies, data-driven aviation equipment fault diagnosis and prediction technology has gradually become a research hotspot in the aviation field. Many typical intelligent algorithm models have been applied to this field. However, limited by the airborne embedded computing environment, there are still some problems in the deployment of intelligent prediction models represented by deep neural networks on aircraft. This paper summarizes and analyzes the research and application of typical deep neural networks such as convolutional neural networks in the field of aircraft fault diagnosis and prediction. Facing the airborne embedded environment, the current difficulties in deploying the deep neural network algorithm model in the airborne environment are analyzed. The development direction of the application of fault prediction and diagnosis algorithms represented by neural networks in the future is discussed.

Citation Download Citation

Sen Wang, Peng Li, and Wei Niu "Application and challenges of deep neural network in fault diagnosis of aviation equipment", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 122580I (15 July 2022); https://doi.org/10.1117/12.2640466

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