环境因素对高精度长度测量影响的标准补偿策略研究

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中图分类号：V263.6 文献标志码：A 文章编码：1672-7274（2025）04-0019-03

Abstract： The accuracy of measuring the length of aircraft engine accessories is often affected by environmental factors such as temperature changes，humidity fluctuations，and vibration interference.Traditional hardware compensation methods are dificultcomprehensivelysolve this pain point.The article proposes anaccuracycompensation model based on deep neural network algorithm，aiming to improve the adaptability and accuracy of measurement systems to environmental disturbances. By constructing a deep neural network to learn and extract features from environmental data，the model canachieve eficient compensation for multi-dimensional environmental variables.The experimental results show thatthis methodsignificantly improves the acuracyof length measurement in various complex environments，providing reliable data support for the manufacturing and maintenance of aviation engine accessories.

Keywords： environmental impact; aircraft engine accessories; length measurement

在航空制造业中，配套附件的高精度长度测量直接影响到发动机的组装精度与整机性能，进而影响飞行器的稳定性与安全性。（剩余4147字）