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检索条件"机构=Key Laboratory of Measurement and Control of Complex System of Engineering"

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Single sensor information fusion for local fault prediction of large rotating machinery

Single sensor information fusion for local fault prediction ...

引用

International Conference on Electrical and control engineering, ICECE 2010

作者： Jianghong, Sun Yunbo, Zuo Xu, Xiaoli School of ElectroMechanical Engineering Beijing Information Science and Technology University Beijing China School of Mechanical and Vehicular Engineering Beijing Institute of Technology Beijing China Beijing Key Laboratory - Measurement and Control of Mechanical and Electrical System Beijing China

ISBN: (纸本)9780769540313

Data process of large rotating machinery is in line with basic features of information fusion. A framework of fault diagnosis and prediction based on sensor information fusion is built. An improved extracting method of features is used to deal with the information fusion of single sensor, which raises the calculation efficiency and precision. The local fault prediction process is presented, and the fault deterioration trend is judged on the basis of dynamic weighted method. Actual example of Beijing Yanshan Petrochemical Co. shows the correction of conclusion. © 2010 Crown.

关键词： Information fusion

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Improved Fourier transform profilometry based on color pattern projection

Improved Fourier transform profilometry based on color patte...

引用

Chinese Conference on Pattern Recognition

作者： Huang, Hao Da, Feipeng Key Laboratory of Measurement and Control for Complex System of Ministry of Education Institute of Automation Southeast University Nanjing 210096 China

ISBN: (纸本)9781424472109

In this paper a novel 3D shape measurement technique based on color fringe projection is proposed to solve the spectrum aliasing and phase unwrapping issues existed in Fourier transform profilometry. Set the RG components of the color fringe to two different frequencies of sinusoidal pattern and the B component to the average value of R or G component. Then project the pattern to the object. Separate these RGB components of the captured color pattern and use our method to process these three gray patterns. By using the proposed method, the background and high frequency noises can be eliminated during FTP process, also the accurate unwrapped phase which contains the height information can be got by using two frequencies of wrapped phase to unwrap the phase. Only one frame color pattern is needed to get the 3D information of an object. Experiment results show that the 3D information of an object can be obtained rapidly and accurately using the proposed method. And also the object can be measured dynamically. ©2010 IEEE.

关键词： Fourier transforms

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A New Accurate Method of Compensating Phase-Shifting Error

A New Accurate Method of Compensating Phase-Shifting Error

引用

Chinese Conference on Pattern Recognition (CCPR)

作者： Lin Zhu Feipeng Da Shaoyan Gai Key Laboratory of Measurement and Control of Complex System of Ministry of Education College of Automation South-East University Nanjing China

A new accurate phase-shifting error compensating algorithm for phase-measuring profilometry is proposed and proved. In this error detecting algorithm, we use three adjacent phase points for research object, approximately suppose that the sinusoidal fringe projection to the plate, the phase differences between adjacent pixels are equal. Then we put the phase shift error into the original algorithm for error compensation. Simulation results show the inhibitory effect of the errors after using the new algorithm for error compensation. Lastly we use the new algorithm for three-dimensional reconstruction of physical measurement. The final effect image shows obviously that the new compensation algorithm is better than the original. So this error extracting algorithm can effectively improve the accuracy of three-dimensional measurement.

关键词： Optimized production technology Phase shifting interferometry Algorithm design and analysis Optical interferometry measurement uncertainty Phase measurement Approximation algorithms

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A new accurate method of compensating phase-shifting error

A new accurate method of compensating phase-shifting error

引用

Chinese Conference on Pattern Recognition

作者： Zhu, Lin Da, Feipeng Gai, Shaoyan Key Laboratory of Measurement and Control for Complex System of Ministry of Education Colledge of Automation Southeast University Nanjing 210096 China

ISBN: (纸本)9781424472109

关键词： Error compensation

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Improved Fourier Transform Profilometry Based on Color Pattern Projection

Improved Fourier Transform Profilometry Based on Color Patte...

引用

Chinese Conference on Pattern Recognition (CCPR)

作者： Hao Huang Feipeng Da Key Laboratory of Measurement and Control of Complex System of Ministry of Education Institute of Automation South-East University Nanjing China

关键词： Fourier transforms Color Shape measurement Charge coupled devices Three dimensional displays measurement by laser beam

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Dynamic weighted fusion of multi-source information for large rotating machinery fault prediction

Dynamic weighted fusion of multi-source information for larg...

引用

2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010

作者： Sun, Jianghong Zuo, Yunbo Xu, Xiaoli School of Electro Mechanical Engineering Beijing Information Science and Technology University Beijing China Beijing Institute of Technology School of Mechanical and Vehicular Engineering Beijing China Beijing Key Laboratory -Measurement and Control of Mechanical and Electrical System Beijing China

ISBN: (纸本)9780769540771

Data process of large rotating machinery is in line with basic features of information fusion. The fault deterioration is extracted from the pattern spectrum as the fault feature , and its trend is predicted by the information fusion which is based on the dynamic weighted method for single-sensor and multi-sensors respectively. Actual example of Beijing Yanshan Petrochemical Co. shows the correction of conclusion. © 2010 IEEE.

关键词： Information fusion

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Stereo Reconstruction Based on Local Edge Detection and Binocular Stereo Matching

Stereo Reconstruction Based on Local Edge Detection and Bino...

引用

Chinese Conference on Pattern Recognition (CCPR)

作者： Fu He Feipeng Da Key Laboratory of Measurement and Control of Complex System of Ministry of Education Research Institute of Automation South-East University Nanjing China

A stereo reconstruction algorithm is proposed, which combines techniques of local edge detection, stereo matching and binocular vision. Firstly, the left and right images of the object are taken by calibrated binocular cameras. Then, in rectified matching images, the closed local edge is formed surrounding each pixel by Prewitt edge operator in order to construct an adaptive window, in which cost aggregation is calculated by normalized cross-correlation-coefficient. Next, local winner-take-all optimization is used to obtain disparity, and image smoothing technique is introduced to reduce matching errors. Finally, points cloud of the object is produced based on calibration information of binocular cameras and results of stereo matching. The experimental results show that the proposed algorithm can overcome impacts of real environment on reconstruction system and successfully achieves smooth and vivid 3D points cloud models of different real objects with high automation degree.

关键词： Stereo image processing Computer vision Image edge detection Image reconstruction Pattern recognition Conferences

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An improved image segmentation based stereo matching algorithm

An improved image segmentation based stereo matching algorit...

引用

Chinese Conference on Pattern Recognition

作者： Shao, Jing Da, Feipeng Key Laboratory of Measurement and Control for Complex System of Ministry of Education Research Institute of Automation Southeast University Nanjing 210096 China

ISBN: (纸本)9781424472109

In order to decrease the mismatching problem in low texture and occluded areas, an improved algorithm based on image segmentation is proposed. Firstly, the adaptive polygon-based support window is adopted for initial disparity estimation, then the reliable matching points derived through left-right constraint are used to compute the disparity planes in the segmentation areas;finally the disparity planes are used to constraint the disparity estimation and as a reference of the energy function, then the Tree DP is introduced to compute the optimal disparity for every pixel. In order to testify the validity and practicability of the algorithm, firstly we use it in the matching of the standard images, the experimental results show that our algorithm has a better performance in areas of low texture and occluded areas and a higher matching accuracy, and then the reconstruction results of the real images shows a smooth and valid point cloud model. ©2010 IEEE.

关键词： Image segmentation

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Stereo Matching Based on Dissimilar Intensity Support

Stereo Matching Based on Dissimilar Intensity Support

引用

Chinese Conference on Pattern Recognition (CCPR)

作者： Fu He Feipeng Da Key Laboratory of Measurement and Control of Complex System of Ministry of Education Research Institute of Automation South-East University Nanjing China

This paper presents a local stereo matching algorithm based on the window construction method using local edge detection. In order to improve performance of window-based cost aggregation computation, a new rule called Dissimilar Intensity Support technique is proposed to distinguish support pixels with dissimilar intensities from those with similar intensity for each centered pixel. According to the proposed rule, support pixels away from centered pixel with dissimilar intensities are used to compute cost aggregation for enhancing intensity variation in local support region. Initial disparity is obtained by classical Winner-Take-All method. Then disparity refinement based on pixels near center with similar intensity as well as smooth disparity is introduced to rectify mismatch. The experimental results based on Middlebury stereo benchmark show that the proposed algorithm has good performance especially in low textured region with only few parameters.

关键词： Pixel Stereo vision Image edge detection Image color analysis Algorithm design and analysis Computer vision Benchmark testing

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3D Face Recognition by Deforming the Normal Face

3D Face Recognition by Deforming the Normal Face

引用

International Conference on Pattern Recognition

作者： Xiaoli Li Feipeng Da Key Laboratory of Measurement and Control of Complex System of Ministry of Education Research Institute of Automation South-East University Nanjing China

ISBN: (纸本)9781424475421

3D face recognition is complicated by the presence of expression variation. In this paper, we present an automatic 3D face recognition method which can differentiate the expression deformations from the interpersonal differences and recognize faces with expressions being removed. The deformations caused by expression and interpersonal difference are firstly learnt from training set, respectively. Then the deformations are linearly combined to synthesize new face with certain expression. When a target face comes in, the synthesized face is used to match it by adjusting the coefficients in the linear combination. After the matching process, coefficients corresponding to the interpersonal differences are chosen as features for recognition. We perform experiments on the FRGC v2.0 database and good performance is obtained.

关键词： Face Face recognition Training Three dimensional displays Deformable models Feature extraction Iterative closest point algorithm

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