介绍了一种采用计算机控制激光位移传感器在线检测木材机械加工表面粗糙度的新方法。
This paper investigated the possibility of measuring the surface roughness of wood by the laser displacement sensor of the computer control.
本文提出了以径向基函数(RBF)神经网络处理表面粗糙度光纤传感器输出信号的方法。
A new method for processing output of surface roughness optical fibre sensor by radial basis function (RBF) neural network is presented in the paper.
设计了一种以单片机和光纤传感器为基础构成的表面粗糙度测量系统。
This paper designs a surface roughness measuring system based on single chip and optical fiber sensor.
并从实际使用角度分析了影响传感器精度的外部因素，其中主要包括被测表面倾斜、表面光泽、粗糙度、颜色以及扫描速度等。
The external factors, including the slope, gloss, roughness, color of the tested surface and the scanning speed, are discussed from the practical point.
其次，使用由FFT快速傅立叶分析仪、激光传感器等组成的检测系统，进行了激光传感器对木材表面粗糙度定量测量方法的研究和木材表面缺陷识别的研究。
Secondly, laser sensor quantitative measure wood surface roughness method and wood surface defect recognition are studied by the test system consisting of FFT analyzer, laser sensor etc.
论述了测量表面粗糙度的反射散射比光纤传感器的结构、工作原理。
It expatiates the structure, working principle and characteristic of the fiber sensor, and the practically measuring result is given.
阐述应用压光电传感器的逆压电效应和光电传感器来测量工件的表面粗糙度。
The article showed how to use contrary piezoelectricity effect of piezoelectricity sensor and photoelectric sensor to measure roughness of product.
阐述应用压光电传感器的逆压电效应和光电传感器来测量工件的表面粗糙度。
The article showed how to use contrary piezoelectricity effect of piezoelectricity sensor and photoelectric sensor to measure roughness of product.
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