Prof. Wenjian Chen Profile

Prof. Wenjian Chen

at Nanjing Univ of Science and Technology

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Publications (10)

Proceedings Article | 18 March 2022 Paper

Regional gradient projection-based defect screening algorithm for steel plate surface

Kailing Wu, Wenjian Chen, Wusen Li

Proceedings Volume 12168, 121682H (2022) https://doi.org/10.1117/12.2631176

KEYWORDS: Image processing, Detection and tracking algorithms, Inspection, Defect detection, Computing systems, Algorithm development, 3D image processing, Optoelectronics, Lithium, Electronics engineering

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Proceedings Article | 28 February 2021 Paper

Research on FPGA-based laser measuring instrument for surface flatness

Ying Meng, Wenjian Chen, Wusen Li, Yuwei Zhao

Proceedings Volume 11781, 117811G (2021) https://doi.org/10.1117/12.2591311

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Proceedings Article | 28 February 2021 Paper

Design of miniaturized high precision laser azimuth detection system

Yuwei Zhao, Wenjian Chen, Wusen Li, Ying Meng

Proceedings Volume 11781, 117811F (2021) https://doi.org/10.1117/12.2591307

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Proceedings Article | 28 February 2021 Paper

Implementation of filtering method of active optical displacement sensor based on ZYNQ

Weiqi Li, Wusen Li, Wenjian Chen, Yongjun Qi

Proceedings Volume 11781, 1178108 (2021) https://doi.org/10.1117/12.2591302

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China’s LAMOST telescope is the most powerful spectroscopic measurement telescope for studying large field of view and large sample astronomy. It combines the world’s leading splicing mirror technology with thin mirror technology for the first time, breaking through the inability of previous astronomical instruments to combine large clear apertures and wide The bottleneck of the field of view. In order to more accurately detect the movement between the sub-mirrors of large-aperture telescopes, it is necessary to install a precise sensor at the edge of the sub-mirror to detect the movement between the sub-mirrors, and then adjust the mirror displacement in time through the force actuator under the mirror to obtain more Good image quality. Due to the particularity of the mirror surface, there are strict requirements on the displacement measurement accuracy of the sensor. Its research focuses on the acquisition and filtering of sensor displacement signals. In order to extract useful digital signals from strong noises and improve the signal-to-noise ratio (SNR) of the digital signals output by the detection system, this paper proposes a dual-channel digital filtering algorithm combining improved four-entry wavelet and adaptive filtering. By improving the four-entry wavelet algorithm, the algorithm improves the reconstruction capability and linearity while taking into account the multi-resolution characteristics of the traditional wavelet transform algorithm, and ensures the continuity of the wavelet coefficients at the threshold; and the second channel collects the high The frequency characteristic noise signal is processed again through adaptive filtering, and finally a sensor displacement signal with a higher signal-to-noise ratio (SNR) is obtained. After the front-end algorithm development is completed, the displacement signal acquisition and processing system is realized through the ZYNQ-7000 development platform, including AD conversion, digital filtering, signal transmission and LCD screen display, etc., and the Gui interface program is written using Matlab to convert the displacement signal Real-time display and save records on the PC side. The entire experiment of the displacement sensor was carried out at the Nanjing Institute of Astronomical Optics Technology, Chinese Academy of Sciences. The results show that the digital signal-to-noise ratio (SNR) processed by the algorithm is 20.7% higher than that of the traditional wavelet algorithm. The root mean square error (RMSE) of the fitted displacement curve is reduced by 19.8% on average, and the running time was reduced by 50%. It shows that the algorithm is accurate and fast, and its entire signal processing system has important application significance for the research of displacement sensors between splicing mirrors of large astronomical telescopes.

Proceedings Article | 12 March 2020 Paper

A three-dimension measurement system using linear LEDs with phase-shifting method

Xiaozhuo Wang, Wenjian Chen, Wusen Li

Proceedings Volume 11434, 1143413 (2020) https://doi.org/10.1117/12.2549435

KEYWORDS: Light emitting diodes, Phase shifts, 3D metrology, Projection systems, Optical spheres, Fringe analysis, Distortion, Phase shifting, Clouds, Calibration

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Proceedings Article | 8 February 2019 Paper

The signal processing system of a differential capacitive micro-displacement sensor for the controlling of segmented mirror

Wusen Li, Yongjun Qi, Wenjian Chen

Proceedings Volume 10843, 1084319 (2019) https://doi.org/10.1117/12.2506487

KEYWORDS: Sensors, Field programmable gate arrays, Capacitors, Signal processing, Amplifiers, Segmented mirrors

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Proceedings Article | 18 January 2019 Paper

Research on the software of the micro-displacement sensor in the active optical system based on FPGA

Xiaokang Xu, Wusen Li, Wenjian Chen, Yongjun Qi

Proceedings Volume 10839, 108391B (2019) https://doi.org/10.1117/12.2506479

KEYWORDS: Field programmable gate arrays, Sensors, Active optics, Analog electronics, Clocks, Mirrors, Active sensors, Data transmission, Interfaces, Data conversion

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Proceedings Article | 18 January 2019 Paper

The application of the digital filtering algorithms in the signal processing system of the micro-displacement sensor

Wusen Li, Wenjian Chen, Yongjun Qi

Proceedings Volume 10839, 108390C (2019) https://doi.org/10.1117/12.2504870

KEYWORDS: Digital filtering, MATLAB, Sensors, Interference (communication), Filtering (signal processing), Signal processing, Computer simulations, Capacitors

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Proceedings Article | 18 January 2019 Paper

A digital filtering algorithm based on four-channel wavelet and its application in active optical system

Guangbo Qiu, Wusen Li, Yongjun Qi , Wenjian Chen

Proceedings Volume 10839, 108390U (2019) https://doi.org/10.1117/12.2505100

KEYWORDS: Wavelets, Filtering (signal processing), Electronic filtering, Digital filtering, Linear filtering, Interference (communication), Signal processing, Sensors, Digital signal processing, Wavelet transforms

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Proceedings Article | 18 January 2019 Paper

Research on photoelectric measurement method for filament diameter based on FPGA

Ziqi Li, Wenjian Chen, Wusen Li

Proceedings Volume 10839, 108390D (2019) https://doi.org/10.1117/12.2504876

KEYWORDS: Signal processing, Signal detection, Field programmable gate arrays, Laser systems engineering, Data processing, Photodiodes, Laser scanners, Laser processing, Digital signal processing, Digital filtering

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Showing 5 of 10 publications

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