Through collecting vibration signal and analyzing it in the frequency domain in the condition of changing parameter cutting, a single self power spectrum is hard to detect tool breakage effectively.
在变切削参数的加工工况下，通过对振动信号的采集和频域处理，发现采用单一的自功率谱方法难以有效检测出刀片破损。
Based on data analysis in both time and frequency domain, characteristics of blade vibration response at rotating stall and surge condition are introduced.
在对时域和频域数据分析的基础上，论述了旋转失速和喘振状态下叶片振动响应的特征。
Under the condition that marked inertial navigation units(INU) measurement errors do exist, two new Doppler centroid estimation techniques in frequency domain and time domain were proposed.
本文针对载机惯导参数误差较大的实际情况，提出了改进的频域和时域多普勒质心估计算法。
应用推荐