Modern computing methods for digital signal processing engineering systems

Poczekajło, Paweł; Suszyński, Robert

doi:10.1016/j.procs.2021.09.126

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…5-megapixel 2/3" CMOS Gigabit Ethernet industrial face-mounted camera from Hikvision, model number MV-CA050-10GC, was used for the laboratory experiments. The resolution of the paper machine Press felt is 2445*2048, in order to meet the experimental needs, the collected images are cropped by AOI area [21], and the final resolution of the processed image is 1296*864, the experimental scene is shot with a variety of interference situations, such as the interference of other equipment in the surrounding and the linear features in the experimental environment, and so on.…”

Section: Laboratory Experimentsmentioning

confidence: 99%

Research on Misalignment Detection of Paper Machine Clothing Based on Computer Vision

Hu,

Wang

2024

AJST

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Paper machine clothing (PMC) is a specialized material essential to the paper industry, forming an integral part of paper-making equipment. Deviations in the net carpet, in particular, can lead to pleats along the edge or in the middle of the net carpet, making it challenging to spread and often resulting in broken pleats. These pleats contribute to increased paper-making costs. To address this issue of paper machine clothing misalignment, this study proposes a monitoring approach based on computer vision. Initially, image filtering and edge enhancement are applied to the video images obtained from the complex manufacturing environment of a paper mill. The Canny operator is then utilized for edge detection to obtain a binary image of the edges. Subsequently, Hough transform is employed to detect the edges of the net blanket based on the straight-line characteristics of paper machine clothing. Additionally, regions of interest (ROI) are established to enhance processing speed and reliability. If broken straight line segments are observed at the edge of the mesh blanket, these are combined using least squares fitting to form a complete straight line. Finally, deviation in the paper machine clothing is monitored by analyzing the slope value of the fitted edge straight line and its distance from the x-axis of the outer roller edge. Test results demonstrate that using the method proposed in this study, it is possible to determine both the angle of net blanket deviation and its distance from the rollers' edges. Through validation using laboratory and mill data, the algorithm presented in this study effectively reflects these parameters.

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Section: Laboratory Experimentsmentioning

confidence: 99%

Research on Misalignment Detection of Paper Machine Clothing Based on Computer Vision

Hu,

Wang

2024

AJST

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“…In recent years, ADC spectrum testing has become an area of intense research interest in the mixed-signal IC test field. Of the dynamic parameter test methods available, spectrum analysis is the most commonly used [ 3 ]. This method calculates the dynamic parameters of the device to be measured by obtaining the power of the fundamental frequency and all harmonics in the spectrum.…”

Section: Introductionmentioning

confidence: 99%

High-Precision ADC Spectrum Testing under Non-Coherent Sampling Conditions

Peng

Li²,

Zhang³

et al. 2022

Sensors

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Realizing coherent sampling is one of the major bottlenecks in high-precision ADC spectrum testing. In spectrum analysis, if coherent sampling is not implemented, spectral leakage will result, which in turn leads to inaccurate test results. In this paper, a combined four-parameter sine-curve-fitting algorithm is proposed incorporating non-coherent sampling, with the amplitude, initial phase, and frequency parameters of the sine wave being obtained by fitting. The corresponding coherent sine wave is then calculated and replaced according to the obtained sine wave to reconstruct the new test data, eliminating the requirement of coherent sampling. Numerous simulations demonstrated the functionality and robustness of the algorithm, which was then used to process and analyze the measured data of two commercial high-precision ADCs. The results show that our algorithm can achieve accurate testing of ADC parameters under relaxed test conditions, which verifies the effectiveness and superiority of the scheme.

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A method for detecting gas applied in seed germination with varying concentration based on gas sensors

Yu,

Sun

2024

Measurement

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Modern computing methods for digital signal processing engineering systems

Cited by 6 publications

References 9 publications

Research on Misalignment Detection of Paper Machine Clothing Based on Computer Vision

Research on Misalignment Detection of Paper Machine Clothing Based on Computer Vision

High-Precision ADC Spectrum Testing under Non-Coherent Sampling Conditions

A method for detecting gas applied in seed germination with varying concentration based on gas sensors

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