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An Absolute Linear Displacement sensor Based on Eddy Current Effect 11

An Absolute Linear Displacement Sensor Based on Eddy Current...

引用

11th International Symposium on Precision Mechanical Measurements

作者： Li, Peilin Wu, Liang Zhou, Fengyu Chen, Liming Engineering Research Center of Mechanical Testing Technology and Equipment Ministry of Education Chongqing University of Technology Chongqing400054 China Chongqing Key Laboratory of Time Grating Sensing and Advanced Detection Technology Chongqing University of Technology Chongqing400054 China

ISBN: (纸本)9781510680296

To meet the requirements of modern industry to absolute measurement, an absolute linear displacement sensor based on eddy current effect is proposed in this paper. The sensor is composed of a stationary ruler with metal reflection conductors and a movable ruler with field coils and inductive coils and includes a Coarse Measurement Track (CMT) and a Fine Measurement Track (FMT). The metal reflection conductors below the movable ruler will generate eddy current and a radiative magnetic field will be produced when the high-frequency alternating current is applied to field coils. The variation of displacement depends on the inductive Electromotive Forces (EMFs) of inductive coils. The CMT is used for positioning the pitch number while the FMT is used for high-precision displacement calculation. The absolute displacement is obtained by the combination of the CMT and the FMT. In this paper, the working principle and structure of the sensor is firstly introduced. Then, the electromagnetic field simulation is conducted according to the sensor model to verify feasibility and rationality. Finally, the sensor prototype is fabricated by PCB technology for experimental validation. The experimental results manifest that the peak-to-peak value of measurement error is 13 μm in 4 mm pitch and the peak-to-peak value of measurement error is 49 μm in the full measurement range of 500 mm. © 2024 SPIE.

关键词： Displacement measurement

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Software development of corneal endothelial cell analyzer 2

Software development of corneal endothelial cell analyzer

引用

2nd International Conference on Materials, Transportation and Environmental Engineering, CMTEE 2014

作者： Yu, Cheng Bo Dan, Xiao Ke, Yan Hong Yang, Yi Ju Lei, Liu Yuan, Yang Yu Chongqing University of Technology Chongqing China Time Grating Sensor and Advanced Detection Technology Key Laboratory Chongqing China

ISBN: (纸本)9783038352488

Based on the current development of corneal endothelial cells in the domestic, this paper developed corneal endothelial cell analyzer software system which taken Microsoft Visual Studio as development platform in Windows7 system and combined with MATLAB image processing technology and the Access database information management technology. The software relies on a database established patient archiving and query system, by VC + + statically call the dynamic link library that MATLAB Compiler generated to complete image processing, by partial equilibrium approach for image enhancement, by dynamic difference method for determination threshold when binaries. The software provides good interactive interface and graphics display surface, but also sets aside network port as follow-platform extension. © (2014) Trans Tech Publications, Switzerland.

关键词： Image enhancement

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Image processing and analysis system for corneal endothelial cell based on labVIEW and MATLAB

Image processing and analysis system for corneal endothelial...

引用

2014 International Conference on Manufacturing technology and Electronics Applications, ICMTEA 2014

作者： Yu, Cheng Bo Ke, Yan Hong Xiao, Dan Yuan, Yang Yu Yang, Yi Ju Remote Test and Control Institute Chongqing University of Technology Chongqing China Time grating sensor and advanced detection technology City key Laboratory of Chongqing China

ISBN: (纸本)9783038353287

To process corneal endothelial cell image quickly and efficiently, observe the corneal endothelial cell form and relevant calculation and analysis. This system adopts mixed programming of LabVIEW and MATLAB, to have image processing and analysis of the corneal endothelial cell. Use LabVIEW to design operation and display interface, and send the images collected to MATLAB for complex arithmetical operation, then put out data in LabVIEW. The experiment indicates the system has the advantage of intuitive interface, convenient operation, and quick arithmetic, has the practical reference value. © (2014) Trans Tech Publications, Switzerland.

关键词： MATLAB

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Study of segmentation algorithm based on corneal endothelial cell images 2

Study of segmentation algorithm based on corneal endothelial...

引用

2nd International Conference on Materials, Transportation and Environmental Engineering, CMTEE 2014

作者： Yang, Ru Min Wang, Shuai Yu, Cheng Bo Hu, Jing Jing Yang, Yi Ju Remote Test and Control Institute Chongqing University of Technology Chongqing China Time grating sensor and advanced detection technology City key Laboratory of Chongqing Chongqing China

ISBN: (纸本)9783038352488

In this paper, we study an an algorithm for accurately extracting the outline of Corneal Endothelial Cell images according to the structure and feature of the corneal endothelial cells. Firstly, we reduce the influence of uneven exposure to segmentation effect using histogram equalization. Secondly, reduce the image noise by Gaussian filtering. At last, research the classical algorithm of image segmentation through the contrast experiment and then select a simple and effective local NiBlack dynamic threshold algorithm. The experimental result shows that this processing method is not only simple, but also can segment the corneal endothelial cell images clearly, and provides a good foundation of data for accurate identification of the following images. © (2014) Trans Tech Publications, Switzerland.

关键词： Image segmentation

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Node Fault Diagnosis in WSN Based on RS and SVM

Node Fault Diagnosis in WSN Based on RS and SVM

引用

Wireless Communication and sensor Network, Intl Conference on

作者： Cheng-Bo Yu Jing-Jing Hu Rui Li Shun-Hua Deng Ru-Min Yang Time Grating Sensor and Advanced Detection Technology City Key Laboratory of Chongqing Chongqing China Remote Test and Control Institute Chongqing University of Technology

ISBN: (纸本)9781479970926

In the wireless sensor network (WSN), the operation reliability is usually evaluated by processing measured datas at network nodes. As the traditional algorithms exist the problems of the complex calculation and large energy consumption, a method for fault diagnosis of nodes in WSN based on rough set theory (RS) and support vector machine (SVM) is proposed in this paper. In this paper, we collect various kinds of fault symptoms and integrate them first and then diagnose the fault nodes through rough set theory (RS) and support vector machine (SVM). Firstly, the rough set theory is used to reduce the attributes of sampling data in order to select the decision-making attributes for constituting a new simple dataset. Then we use the new simple dataset to train the SVM. And finally classify failure modes of WSN through the trained SVM model. The result shows with RS-SVM the diagnosis time is only 0.16s and the diagnosis accuracy is up to 95%. The algorithm in this paper makes full use of the RS and the SVM and the result shows the effectiveness of the algorithm in fault diagnosis of WSN, and also shows it can improve the efficiency and accuracy of fault diagnosis.

关键词： Wireless sensor networks Support vector machines Fault diagnosis Accuracy Mathematical model Set theory Wireless communication

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