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。
For improving the precision of the frequency measure, presents a frequency measure algorithm by integrating automatic adjusting the sampling parameter and spectrum correction.
为提高频率测量精确度,提出一种自动调整采样参数与频谱校正相结合的频率测量算法。
First of all, starting with the estimate of signal parameter (e. g. amplitude, frequency and phasic), it makes a research in algorithms of direct, subdivide the spectrum, high-precision FFT and so on.
首先,本文从信号参数(幅度、频率、相位)估计入手,研究了直接法、细化频谱法和高精度FFT法等算法。
First of all, starting with the estimate of signal parameter (e. g. amplitude, frequency and phasic), it makes a research in algorithms of direct, subdivide the spectrum, high-precision FFT and so on.
首先,本文从信号参数(幅度、频率、相位)估计入手,研究了直接法、细化频谱法和高精度FFT法等算法。
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