| 孙晓明,苏世伟,尹华光,王海涛.基于光纤传感探测的直升机修理异常振动源定位研究[J].装备环境工程,2023,20(5):128-137. SUN Xiao-ming,SU Shi-wei,YIN Hua-guang,WANG Hai-tao.Location of Abnormal Vibration Source in Helicopter Repair Based on Optical Fiber Sensing Detection[J].Equipment Environmental Engineering,2023,20(5):128-137. |
| 基于光纤传感探测的直升机修理异常振动源定位研究 |
| Location of Abnormal Vibration Source in Helicopter Repair Based on Optical Fiber Sensing Detection |
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| DOI：10.7643/issn.1672-9242.2023.05.018 |
| 中文关键词: 光纤传感 直升机修理 振动监测 异常振动源 深度学习中图分类号:TJ06 文献标识码:A 文章编号:1672-9242(2023)05-0128-10 |
| 英文关键词:optical fiber sensing helicopter repair vibration monitoring abnormal vibration source deep learning |
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| Author | Institution |
| SUN Xiao-ming | Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;Chengdu State-owned Jinjiang Machinery Factory, Chengdu 610043, China |
| SU Shi-wei | Chengdu State-owned Jinjiang Machinery Factory, Chengdu 610043, China |
| YIN Hua-guang | Chengdu State-owned Jinjiang Machinery Factory, Chengdu 610043, China |
| WANG Hai-tao | Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China |
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| 中文摘要: |
| 目的 针对直升机异常振动故障排除，对振动源进行检测，并分析振源频谱，准确定位异常振动源，指导振动源调整，并对调整情况进行检测，提升直升机异常振动排故效率。方法 结合光纤传感器的振动检测特性应用分析，开发一套基于光纤传感探测的直升机修理异常振动源定位系统，实现直升机的振动源动态监控。结果 识别了直升机的主要振动源，分析统计了振动源频率，梳理了直升机试车、试飞典型振动故障，研究了光纤振动传感器感知被测量的实时调制方法和信号调制的光波解调方法，结合应用需求对市场上成熟的分布式光纤传感系统进行了优化设计，采用深度学习技术，对后端数据处理平台软件进行了重新设计。结论 通过有针对性地创建识别模型库，并对模型库进行实际样本训练，模型准确率可达到66.37%。 |
| 英文摘要: |
| The work aims to detect the vibration source and analyze the frequency spectrum of the vibration source for the troubleshooting of abnormal helicopter vibration and accurately locate the abnormal vibration source, guide the adjustment of the vibration source and detect the adjustment to improve the efficiency of abnormal helicopter vibration troubleshooting. Combined with the application analysis of the vibration detection characteristics of the optical fiber sensor, a set of abnormal vibration source locating system for helicopter repair based on optical fiber sensing detection was developed to realize the dynamic monitoring of the vibration source of the helicopter. Firstly, the main vibration source of the helicopter was identified, the frequency of the vibration source was analyzed and counted, and the typical vibration faults of the helicopter in test run and test flight were sorted out. Then, the real-time modulation method of optical fiber vibration sensor and the light wave demodulation method subject to signal modulation were studied. Finally, combined with the application demand, the mature distributed optical fiber sensing system available on the market was subject to optimal design and deep learning technology was adopted to redesign the software of the back-end data processing platform. The model accuracy can reach 66.37% after a targeted recognition model library is created and the model library is trained with actual samples. |
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