摘要
针对天线座动态跑合质量评估需求,文中提出了一种基于振动与噪声信号的数字化评估方法。通过在天线座伺服传动系统关键位置布置传感器,实时采集跑合过程中的振动加速度和噪声信号,采用滑动平均、时域同步平均和小波阈值降噪的组合算法进行信号处理。基于LabVIEW平台开发了集成数据采集、信号处理和特征分析功能的数字化评估系统,实现了跑合质量的自动化评估。试验结果表明:系统能够有效区分合格与不合格跑合状态,对故障天线座的识别准确率达到100%;与人工评估方法相比,数字化系统将单样本评估时间从185 s缩短至3 s以内。该研究为天线座动态跑合质量评估提供了可靠的数字化解决方案,具有重要的工程应用价值。
Aiming at the requirement for dynamic run-in quality assessment of antenna pedestals,a digital assessment method based on vibration and noise signals is proposed in this paper.Sensors are deployed at key positions of the antenna pedestal servo drive system to collect vibration acceleration and noise signals in real time during the run-in process.A combined algorithm comprising moving average,time-domain synchronous average and wavelet threshold denoising is employed for signal processing.A digital assessment system integrating data acquisition,signal processing,and feature analysis is developed based on the LabVIEW platform,enabling automated assessment of run-in quality.Experimental results demonstrate that the system can effectively distinguish between qualified and unqualified run-in states,achieving a 100%recognition accuracy for faulty antenna pedestals.Compared with manual evaluation methods,the digital system reduces the single-sample assessment time from 185 seconds to less than 3 seconds.This study provides a reliable digital solution for evaluating the dynamic run-in quality of antenna pedestals and holds significant practical engineering value.
作者
鲍昊昊
张柳
吴一豪
BAO Haohao;ZHANG Liu;WU Yihao(Nanjing Research Institute of Electronics Technology,Nanjing 210039,China)
出处
《电子机械工程》
2026年第1期45-52,共8页
Electro-Mechanical Engineering
关键词
天线座
动态跑合质量
振动
噪声
评估系统
antenna pedestal
dynamic run-in quality
vibration
noise
assessment system
