scholarly journals Improving the lateral resolution of a multi-sensor profile measurement method by non-equidistant sensor spacing

2010 ◽  
Vol 18 (15) ◽  
pp. 15807 ◽  
Author(s):  
Axel Wiegmann ◽  
Michael Schulz ◽  
Clemens Elster
Keyword(s):  
Measurement Method ◽  
Lateral Resolution ◽  
Profile Measurement

Wide Field of View Turbulence Profile Measurement Method

2018 ◽  
Vol 45 (8) ◽  
pp. 0804003
Author(s):  
方玉亮 Fang Yuliang ◽  
金振宇 Jin Zhenyu ◽  
刘忠 Liu Zhong ◽  
李正刚 Li Zhenggang
Keyword(s):  
Measurement Method ◽  
Field Of View ◽  
Profile Measurement ◽  
Wide Field ◽  
Wide Field Of View

Accurate profile measurement method for industrial stereo-vision systems

Sensor Review ◽  
2020 ◽  
Vol 40 (4) ◽  
pp. 445-453
Author(s):  
Yang Zhang ◽  
Wei Liu ◽  
Yongkang Lu ◽  
Xikang Cheng ◽  
Weiqi Luo ◽  
...  
Keyword(s):  
Stereo Vision ◽  
Measurement Method ◽  
Vision System ◽  
Practical Implication ◽  
Image Features ◽  
Reference Points ◽  
Profile Measurement ◽  
Surface Boundary ◽  
Content Type ◽  
Profile Reconstruction

Purpose Profile measurement with boundary information plays a vital role in the detection of quality in the assembly of aviation parts. The purpose of this paper is to improve the evaluation accuracy of the aerodynamic shapes of airplanes, the profiles of large-sized parts need to be measured accurately. Design/methodology/approach In this paper, an accurate profile measurement method based on boundary reference points is proposed for the industrial stereo-vision system. Based on the boundary-reference points, the authors established a priori constraint for extracting the boundary of the measured part. Combining with the image features of background and the measured part, an image-edge compensation model is established to extract the boundary of the measured part. The critical point of a laser stripe on the edge of the measured part is extracted corresponding to the boundary constraint. Finally, as per the principle of binocular vision, the profile of the measured part is reconstructed. Finding Laboratory experiments validate the measurement accuracy of the proposed method which is 0.33 mm. In the analysis of results between the measured data and the theoretical model, the measuring accuracy of the proposed method was found to be significantly higher than that of the other traditional methods. Practical implication An aviation part was measured in the part-assembly shop by the proposed method, which verified the feasibility and effectiveness of this method. The research can realize the measurement of smooth surface boundary which can solve existing profile reconstruction problems for aviation parts. Originality/value According to the two-dimensional contour constraint, critical points of the laser strip sequence at the edge of measured part are extracted and the accurate profile reconstruction with the boundary is realized.

Research on Tooth Profile Deviations Measurement Method Based on the Optical Image Measuring Instrument

2013 ◽  
Vol 712-715 ◽  
pp. 1979-1982 ◽  
Author(s):  
Qing Hai Wang ◽  
Feng Xia Zhao
Keyword(s):  
Mathematical Models ◽  
Measurement Method ◽  
Tooth Profile ◽  
Optical Image ◽  
New Method ◽  
Profile Measurement ◽  
Measuring Instrument ◽  
Profile Deviation ◽  
Form Deviation ◽  
Fitting Error

To resolve the problems of small module gear measurement with traditional methods, a new method for measuring the tooth profile deviations of small module gear using the optical image measuring instrument is put forward. According to the ISO 1328-1, the mathematical models of total profile deviation, profile form deviation and profile slope deviation are proposed. The involute profile measurement schemes are given. The results show that tooth profile coordinate values of small module gear can be measured automatically and effectively with the optical image measuring instrument, and the provided method has higher precision of getting measuring points and less fitting error of tooth profile.

A New Method for Measuring Straightness and Yawing Motion Errors of a Linear Slide

2005 ◽  
Vol 128 (2) ◽  
pp. 503-512 ◽  
Author(s):  
Eric H. K. Fung
Keyword(s):  
Uncertainty Analysis ◽  
Frequency Domain ◽  
Measurement Method ◽  
Spatial Domain ◽  
Separation Technique ◽  
Profile Measurement ◽  
Motion Error ◽  
Sensor Reading ◽  
Error Separation ◽  
Linear Slide

In this paper, an on-machine Fourier five-sensor (F5S) measurement method is developed using Fourier series and sensor integration techniques to determine the straightness and yawing motion errors of a linear slide. The profile of the slide is also determined in this error separation technique. The method is an extension of the previous Fourier three-sensor (F3S) method (Fung, E. H. K., and Yang, S. M., 2000, “An Error Separation Technique for Measuring Straightness Motion Error of a Linear Slide,” Meas. Sci. Technol., 11, pp. 1515–1521; Yang, S. M., Fung, E. H. K., and Chiu, W. M., 2002, “Uncertainty Analysis of On-Machine Motion and Profile Measurement With Sensor Reading Errors,” Meas. Sci. Technol., 13, pp. 1937–1945) by including the effects of yawing error in the straightness motion error and profile measurements. The principles and operation of the F5S measurement method are described. The uncertainty analysis of the method in the presence of a sensor reading error is studied both in the frequency domain and the spatial domain. The spatial domain parameter is first optimized to yield the 12 possible sensor configurations and the final configuration is chosen based on the frequency domain parameter values. The method is evaluated by computer simulation where the simulated sensor outputs are derived from the predefined profile, straightness, and yawing motion errors. By comparing the calculated results with the input data, the F5S method is found to be superior to the F3S method as far as accuracy is concerned. The results reported in this simulation study not only confirm the feasibility of the F5S method but also encourage the author to perform an experimental study in the near future.

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