The invention discloses an aircraft accessory online detection system and method based on an improved convolutional neural network, and relates to the technical field of aviation, the aircraft accessory online detection system comprises a detector, the detector is connected with a processor, and the processor is connected with a memory and a display. According to the method, the detection mode of the convolutional neural network model on the aircraft components is improved, the information detected by the detector is classified and identified through the artificial assistance convolutional neural network model, and the information is stored and learned by the convolutional neural network model, so that the same or similar information is automatically classified and identified again, and the detection efficiency is improved. The identification efficiency of aircraft accessory detection is improved, and the accuracy of aircraft accessory detection and identification is improved at the same time.
本发明公开了一种基于改进卷积神经网络的航空器附件在线检测系统及方法,涉及航空技术领域,包括检测器,所述检测器连接处理器,所述处理器连接存储器和显示器。本发明改进卷积神经网络模型对航空器构件的检测方式,通过人工辅助卷积神经网络模型对检测器检测到的信息进行分类识别,卷积神经网络模型对信息进行储存学习,便于再次对相同或相似的信息进行自动分类识别处理,在提高了航空器附件检测的识别效率的同时,提高了航空器附件检测识别的准确性。
Aircraft accessory online detection system and method based on improved convolutional neural network
一种基于改进卷积神经网络的航空器附件在线检测系统及方法
2022-07-22
Patent
Electronic Resource
Chinese
IPC: | G06K Erkennen von Daten , RECOGNITION OF DATA / B64F GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT , Boden- oder Flugzeugträgerdeckeinrichtungen besonders ausgebildet für die Verwendung in Verbindung mit Luftfahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
SAE Technical Papers | 1943
|Engineering Index Backfile | 1943
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