Exploration on Applying Non-Contact Photoelectric Detection Method for Double-Enveloping Hourglass Worm

2010 ◽  
Vol 97-101 ◽  
pp. 4287-4292
Author(s):  
Shu Yuan Zhang ◽  
Xiao Jing Chen ◽  
Song Kun Yu ◽  
Ting Chen Chen
Keyword(s):  
Light Source ◽  
Detection Method ◽  
Detection System ◽  
Image Sensor ◽  
Tooth Surface ◽  
Rotary Table ◽  
Ccd Imaging ◽  
Photoelectric Detection ◽  
Manufacturing Accuracy ◽  
Work Table

According to the principle of processing, a non-contact photoelectric detection method for double-enveloping hourglass worm is investigated. The structure of the detection system is designed. It consists of solid-state image sensor CCD and light source. The parallel light source is installed on a sliding-board which is fixed on the rotary table. There is an inclination angular β between the parallel light source and the plane of the work table. The industrial CCD lens is mounted on the other side of the worm through a frame. The plane of the CCD is vertical to the parallel light source. Therefore CCD imaging is along with the direction of the generating process surface. By comparing the measured spiral tooth surface with the standard spiral tooth surface, the manufacturing error of worm can be calculated. Manufacturing accuracy of the worm can be obtained. Based on the four-axis CNC grinder, Non-contact photoelectric detection method is studied through preliminary experimental study. The experimental results indicate that this method is feasible in the precise detection of the double-enveloping hourglass worm.

Weak Signal Detection Method in a Stronger Noise Background

2014 ◽  
Vol 568-570 ◽  
pp. 260-264
Author(s):  
Jun Wang ◽  
Jian Ming Bai
Keyword(s):  
Detection Method ◽  
Detection System ◽  
Feasibility Analysis ◽  
Weak Signal ◽  
Weak Signal Detection ◽  
Error Angle ◽  
Noise Background ◽  
Photoelectric Detection ◽  
Detection Technology ◽  
Detection Principle

When we use the laser auto collimation theodolite to measure the azimuth error angle of air target, the strong noise background reduces the spot imaging quality and seriously influences the measuring angle ability of the theodolite. In order to solve the problem, a photoelectric detection system used to detect the weak signal is designed based the correlation detection principle and the principle of correlation detection technology is introduced. We use Simulink software presenting a simulation to the detection system and do a feasibility analysis. Finally, it’s proved that the photoelectric detection system could suppress the strong noise background, improve the SNR greatly and detect the weak signal effectively.

Development of Quantitative Analytical Instrument for Colloidal Gold Strips

2012 ◽  
Vol 591-593 ◽  
pp. 1872-1876 ◽  
Author(s):  
Yang Wang ◽  
Kai Jiang ◽  
Ping Wang
Keyword(s):  
Light Source ◽  
Colloidal Gold ◽  
Detection System ◽  
Test Strip ◽  
Step Motor ◽  
Test Results ◽  
Analytical Instrument ◽  
Photoelectric Detection ◽  
Reflected Light ◽  
Source Signals

A novel analytical instrument for quantitative testing colloidal gold strips is developed based on the principle of photoelectric detection. The test-strip analytical instrument uses green LEDs as the emitting light source and a photodiode as the receiving device for obtaining reflected light, and utilizes a step motor to drive detection system for scanning the examining areas. Modulation technique for light source signals and demodulation technique for receipt signals are used to eliminate the interference of the background noise. The test results indicate the system has high detection veracity rates with detecting errors less than 1%, and good detection stability with coefficient variables less than 2%.

Image detection and parameterization for different components in cross-sections of radial tires

2021 ◽  
pp. 095440702110236
Author(s):  
Chen Liu ◽  
Yude Dong ◽  
Yanli Wei ◽  
Jiangtao Wang ◽  
Hongling Li
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Cross Sections ◽  
Digital Image ◽  
Detection Method ◽  
Detection System ◽  
Practical Significance ◽  
Vehicle Safety ◽  
Wire Steel ◽  
Good Detection

The internal structure analysis of radial tires is of great significance to improve vehicle safety and during tire research. In order to perform the digital analysis and detection of the internal composition in radial tire cross-sections, a detection method based on digital image processing was proposed. The research was carried out as follows: (a) the distribution detection and parametric analysis of the bead wire, steel belt, and carcass in the tire section were performed by means of digital image processing, connected domain extraction, and Hough transform; (b) using the angle of location distribution and area relationship, the detection data were optimized through coordinate and quantity relationship constraints; (c) a detection system for tire cross-section components was designed using the MATLAB platform. Our experimental results showed that this method displayed a good detection performance, and important practical significance for the research and manufacture of tires.

The development of a XEOL and TR XEOL detection system for the I18 microfocus beamline Diamond light source

2013 ◽  
Vol 134 ◽  
pp. 49-58 ◽  
Author(s):  
R.P. Taylor ◽  
A.A. Finch ◽  
J.F.W. Mosselmans ◽  
P.D. Quinn
Keyword(s):  
Light Source ◽  
Detection System

The Effect of Laser Focus Position on Laser Induced Plasma Characteristics

2014 ◽  
Vol 1035 ◽  
pp. 508-513
Author(s):  
Meng Ke Lu ◽  
Shu Rui Zhao ◽  
Kui Wen Guan ◽  
Yan Ling Wang
Keyword(s):  
Short Pulse ◽  
Detection System ◽  
Spectral Lines ◽  
The Self ◽  
Focus Position ◽  
Laser Induced Plasma ◽  
Photoelectric Detection ◽  
Complex Process ◽  
Laser Focus ◽  
Plasma Characteristics

Laser induced plasma is a relatively complex process which is closely related to many factors. In this paper, using a short pulse Nd:YAG laser and CCD photoelectric detection system, the variation of laser focus position effected by spectral intensity, the ratio of signal to background as well as the self-absorption of the plasma spectral lines with the standard spectra sample of aluminum for analysis samples was studied. Results show that: when the laser focus position is about 5mm under the surface of the sample, the relative intensity and the ratio of signal to background of the spectral lines are the strongest, and the spectral lines are sharp without obvious self-absorption.

Research on Several Key Techniques of Power Tool Rest Noise Detection System

2012 ◽  
Vol 630 ◽  
pp. 271-275
Author(s):  
Xiao Hong Lu ◽  
Yong Yan Shang ◽  
Peng Zhuo Han ◽  
Guang Jun Li ◽  
Wen Yi Wu
Keyword(s):  
Spectrum Analysis ◽  
Detection Method ◽  
Detection System ◽  
Sampled Data ◽  
Noise Detection ◽  
Machining Center ◽  
Cnc Lathe ◽  
Spectrum Transformation ◽  
Key Techniques

The scarcity and imperfection of power tool rest noise detection method have seriously limited the development of the industry of CNC lathe, lathe and milling composite machining center. A noise detection system based on LabVIEW is developed. The developed system adopts a noise sensor as noise detection component to test the noise information of the power tool rest. To enhance the anti-interference ability of this system, the sampled signals are amplified and adjusted by the signal disposal instrument. Through the spectrum transformation and spectrum analysis of the sampled noise signals, the noise causes of the power tool rest can be inquired and the concerned measurements can be taken to reduce the noise effectively. Finally, the sampled data is stored by the data saving function.

Fast Automatic Target Detection System Based on a Visible Image Sensor and Ripple Algorithm

2013 ◽  
Vol 13 (7) ◽  
pp. 2720-2728 ◽  
Author(s):  
Jinhui Lan ◽  
Jian Li ◽  
Yong Xiang ◽  
Tonghuan Huang ◽  
Yixin Yin ◽  
...  
Keyword(s):  
Target Detection ◽  
Detection System ◽  
Image Sensor ◽  
Visible Image ◽  
Automatic Target Detection

scholarly journals An Automata Based Intrusion Detection Method for Internet of Things

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Yulong Fu ◽  
Zheng Yan ◽  
Jin Cao ◽  
Ousmane Koné ◽  
Xuefei Cao
Keyword(s):  
Open Access ◽  
Internet Of Things ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection Method ◽  
Detection System ◽  
Network Communication ◽  
5G Networks ◽  
Machine To Machine ◽  
Security Of Iot

Internet of Things (IoT) transforms network communication to Machine-to-Machine (M2M) basis and provides open access and new services to citizens and companies. It extends the border of Internet and will be developed as one part of the future 5G networks. However, as the resources of IoT’s front devices are constrained, many security mechanisms are hard to be implemented to protect the IoT networks. Intrusion detection system (IDS) is an efficient technique that can be used to detect the attackers when cryptography is broken, and it can be used to enforce the security of IoT networks. In this article, we analyzed the intrusion detection requirements of IoT networks and then proposed a uniform intrusion detection method for the vast heterogeneous IoT networks based on an automata model. The proposed method can detect and report the possible IoT attacks with three types: jam-attack, false-attack, and reply-attack automatically. We also design an experiment to verify the proposed IDS method and examine the attack of RADIUS application.

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