環(huán)境因素對高精度長度測量影響的標準補償策略研究

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中圖分類號：V263.6 文獻標志碼：A 文章編碼：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

在航空制造業(yè)中，配套附件的高精度長度測量直接影響到發(fā)動機的組裝精度與整機性能，進而影響飛行器的穩(wěn)定性與安全性。（剩余4147字）