defect signal detection 缺陷信号检测
False defect signal 非缺陷信号
defect signal analysis 缺陷信号分析
Defect signal recognition 缺陷信号识别
Loss of Signal defect 信号丢失缺陷
Far-end Loss Of Signal Defect 远端信号丢失缺陷
Degraded signal defect 劣化信号缺陷
The gradient algorism is developed to extract the defect signal. The variation of signal amplitude and gradient is used as the standards of the defect assessment.
提出了提取缺陷信号特征的梯度算法,用信号幅度和梯度值的变化作为缺陷估计标准。
参考来源 - 天然气管道漏磁检测中的信号处理·2,447,543篇论文数据，部分数据来源于NoteExpress
The BP neural network is used to fit data, through which quantitative analysis of defect signal can be obtained.
采用了BP神经网络对数据进行拟合，能够实现对裂纹信号的定量识别。
The linear and quantitative nondestructive test of the grain defect is realized by using time-frequency domain character of the ultrasonic defect signal.
利用超声缺陷信号的时频域特征，较好地实现了该类型药柱的线性定量无损检测。
The time frequency difference between grain noise and defect signal provide a possibility for enhancement of signal-to-noise ratio (SNR) in ultrasonic testing.
晶粒噪声和缺陷信号的时频特征的差异，为提高超声检测的信噪比提供了可能。
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