论文:2021,Vol:39,Issue(4):770-775
引用本文:
李海亮, 蔡景, 康婷玮. 航空电缆故障的可视化智能检测仪设计研究[J]. 西北工业大学学报
LI Hailiang, CAI Jing, KANG Tingwei. Study on design of visual intelligent detection instrument for aviation cable fault[J]. Northwestern polytechnical university

航空电缆故障的可视化智能检测仪设计研究
李海亮, 蔡景, 康婷玮
南京航空航天大学 民航学院, 江苏 南京 211106
摘要:
航空电缆用于传输电能和信号,其性能直接影响飞机的运行安全。针对飞机上电缆故障难以定位,并且缺少合适的高精度检测设备的问题,基于时域反射技术(TDR),结合树莓派、FPGA等嵌入式系统,设计了一种航空电缆故障检测仪。检测仪通过PLL倍频时钟发射宽度小于时钟源周期的低压脉冲,基于多重ADC采样法对反射脉冲进行采样,应用智能化分析算法自动判断故障类型和故障位置,并在液晶显示屏上直观显示采样波形和检测结果。经过实验验证,该检测仪基本能够满足航空电缆的故障检测需求。
关键词:    航空电缆    故障检测    TDR    树莓派    FPGA   
Study on design of visual intelligent detection instrument for aviation cable fault
LI Hailiang, CAI Jing, KANG Tingwei
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Abstract:
Aviation cable is used to transmit electric energy and signal, and its performance directly affects the safety of aircraft. It is difficult to locate cable faults on aircraft and there is a lack of suitable high-precision detection equipment. Based on the Time-Domain Reflectometry Technology (TDR), combining with the embedded systems such as Raspberry Pi and FPGA, an aviation cable fault detector is designed. Firstly, based on the frequency-doubling clock generated by the PLL, the detector emits a low-voltage pulse whose width is smaller than the cycle of the source clock. Then, based on the multiple ADC sampling method, the detector samples the reflected pulse. Finally, the detector uses the intelligent algorithm to automatically determine the fault type and fault location, and displays the sampling waveform and detection results on the LCD screen. Through experimental verification, the detector can basically meet the requirements of aviation cable fault detection.
Key words:    aviation cable    fault detection    TDR    Raspberry Pi    FPGA   
收稿日期: 2020-11-19     修回日期:
DOI: 10.1051/jnwpu/20213940770
基金项目: 中央高校基本科研业务费(NP2019408)资助
通讯作者: 蔡景(1976-),南京航空航天大学副教授,主要从事六性与持续适航技术研究。e-mail:caijing@nuaa.edu.cn     Email:caijing@nuaa.edu.cn
作者简介: 李海亮(1997-),南京航空航天大学硕士研究生,主要从事EWIS故障检测技术和PHM仿真技术研究。
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