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weft
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  相似匹配句对
    Application of Piezoelectric Crystal to weft Stop Transducer Development
    压电晶体在纬停传感器研制中的应用
短句来源
    Development of the Photoelectric Weft Straightener with Rotating Probe Based on STD Bus
    采用STD总线的旋转探头式光电整纬装置的研制
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  weft
Treatment of S200 and S450 gauzes with hard particles at a velocity of 24-80 m/sec induces plastic deformation of their weft wires, with only a slight decrease in their mean pore sizes.
      
Those specimens of composite have maximum strength which have no weft in the working part.
      
It is therefore necessary to compute the cell strength of a parachute canopy proceeding from dynamic load levels.2.It is apparent that the threads of the base and weft must be placed at an angle
      
Experimental curves of acoustic emission (seismoacoustic radiation) are presented for woven glass plastics subjected to brief uniaxial extension along the weft and also along the warp of the reinforcing fiber.
      
Results are given of fatigue tests on specimens of a glass-reinforced plastic winding cut in the weft direction of the reinforcing fabric.
      
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This article deajs with the application of piezoelectric crystal to the development of weft stop transducer in terms of the piezoelectric crystal theory. It is proved by practice that the performance of the weft stop transducer is greatly enhanced by using piezoelectric crystal senosors.

本文以压电晶体的理论为依据,探讨了压电晶体在研制剑杆织机的纬停传感器中的应用问题。实践证明以压电晶体为敏感元件制成的纬停传感器具有优良的性能。

In this paper, a new system of electron controlling weft insertion in separated slay type flexible rapier loom is put forward. The method utilizes stepping motor to drive rapier driving mechanism for completing weft insertion motion under the control of 8031 microcomputer, The advantages of this system stated were accurate transmission of motion, simpler mechanism, and easy to alter the motion pattern of weft insertion.

在分离箱座式挠性剑杆织机的引纬方式上提出了一种新的电子控制引纬系统。即在单片机8031控制下,用步进电动机驱动引剑机构完成引纬运动。该方法具有传动准确、结构简单,能方便地改变织机引纬运动规律的优点。

A new method to inspect and recognize fabric defects based on wavelet analysis and neural network is presented. The method, based on prior knowledge of characteristics of defect image, using open transform of mathematical morphology on high\|frequency components of wavelet decomposition of fabric image, combining with the characteristics that different wavelet subbands show different edge details, eliminating noises that generated on the fabric image by cotton shell and fluorescent dots formed by the back face...

A new method to inspect and recognize fabric defects based on wavelet analysis and neural network is presented. The method, based on prior knowledge of characteristics of defect image, using open transform of mathematical morphology on high\|frequency components of wavelet decomposition of fabric image, combining with the characteristics that different wavelet subbands show different edge details, eliminating noises that generated on the fabric image by cotton shell and fluorescent dots formed by the back face light coming through the intersections of warps and wefts, extracting the feature parameters, utilizing the BP algorithm of neural network, can efficiently inspect and recognize four common fabric defects—weft-lacking, warp-lacking, oil stains and holes, and have advantages with high identification correctness and high inspection speed.

提出了一种新的基于小波分析与神经网络的织物疵点检测与识别方法,根据疵点图像形态的先验知识,在织物图像小波分解高频分量中运用数学形态学中的开运算,结合小波高频各子带反映不同边缘细节的特点,去除由棉籽壳与背景光从经、纬纱之间的空隙透射而成的荧光点在织物图像上形成的噪声,提取特征参数,利用神经网络BP算法,有效地检测与识别了缺纬、断经、油污、破洞等常见疵点,并具有识别正确率高、检测速度快等优点。

 
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