Features of Numerical Processing of Measurement Information for High-Precision Linear and Angular Measurements

Masterenko, D. A.; Teleshevskii, V. I.

doi:10.1007/s11018-017-1125-3

Cited by 6 publications

(4 citation statements)

References 1 publication

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“…Image Preprocessing. In the process of computer processing images, the process of image denoising, filtering, segmentation, etc., is called image preprocessing [8,9]. e principle of intelligent image processing is shown in Figure 1.…”

Section: Detection Methods Of Crane Boom Materials Quality Based On I...mentioning

confidence: 99%

Image-Based Precision Measurement Technology for the Quality Inspection of Crane Boom Materials

Liu

Tan

Cao

et al. 2022

Advances in Materials Science and Engineering

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With the slow rise of the construction industry, cranes, as indispensable mechanical equipment in construction projects, are widely used in the lifting and handling of specific space ranges of construction projects. The quality of crane booms is particularly important for safety. This paper uses image measurement methods including filter processing, mean filtering, and Gaussian filtering to detect the quality of the crane boom material. The image is processed by the wavelet transform and Fourier transform. The grayscale transformation stretching method is applied to the surface image analysis of the boom material to obtain the final inspection. The research results show that the use of image measurement methods can effectively measure the thickness of the crane boom material, the geometric information of the boom material, and the surface roughness of the material and obtain effective image information. The detection accuracy reaches 98.1%. The error can be controlled better. The inspection and research on the quality of crane jib materials can ensure the quality and performance of crane jib materials, reduce the potential safety hazards of cranes during operation, and improve safety. This article organically combines workpiece surface roughness detection with digital image processing technology to preprocess the surface picture of the arm tube material. On this basis, the texture features in the image are extracted and programmed to calculate, and the final workpiece is obtained by the surface roughness value, which proves the feasibility of this method. The research results have very important practical significance for the detection of the quality of the arm tube material and the improvement of the quality level of the arm tube material.

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Section: Detection Methods Of Crane Boom Materials Quality Based On I...mentioning

confidence: 99%

Image-Based Precision Measurement Technology for the Quality Inspection of Crane Boom Materials

Liu

Tan

Cao

et al. 2022

Advances in Materials Science and Engineering

View full text Add to dashboard Cite

show abstract

“…From the other hand, the discrete is very little (only a part of a nanometer) and it is very difficult to make it less any more. In [32] the Pittman-type estimates for these data are calculated:m = À0.45 • 10 À3 mm,ŝ = 0.35 • 10 À3 mm. With these estimates, the "zero" may be precisely located, and later the measured position, too.…”

Section: Resultsmentioning

confidence: 99%

Consistent process monitoring criterion based on control data for an alternative attribute for narrowed tolerance

Мастеренко¹

2020

Менеджмент Качества

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The process capability indices C p , C pk are widely used in the modern quality management as statistical measures of the ability of a process to produce output X within specification limits. The customer's requirement to ensure C p ≥ 1.33 is often applied in contracts. Capability indices estimates may be calculated with the estimates of the mean m and the variability 6s, and for it, the quality characteristic in a sample of pieces should be measured. It requires, in turn, using advanced measuring devices and well-qualified staff. From the other hand, quality inspection by attributes, fulfilled with limit gauges (go/no-go) is much simpler and has a higher performance, but it does not give the numerical values of the quality characteristic. The described method allows estimating the mean and the variability of the process on the basis of the results of limit gauge inspection with certain lower limit LCL and upper limit UCL, which separates the pieces into three groups: where X < LCL, number of pieces is n 1 , where LCL X < UCL, n 2 pieces, and where X ≥ UCL, n 3 pieces. So-called Pittman-type estimates, developed by the author, are functions of n 1 , n 2 , n 3 and allow calculation of the estimated m and s. Thus, C p and C pk also may be estimated without precise measurements. The estimates can be used in quality inspection of lots of pieces as well as in monitoring and control of the manufacturing process. It is very important for improving quality of articles in machining industry through their tolerance.

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“…The example of application of the method to coordinate measurements of intricately shaped surfaces is given in [31]. In [32] the method is applied to the data processing in the laser interferometric system. Table 1, taken from [32], represents some consecutively values observed from the laser interferometer where the reflector is stopped.…”

Section: Resultsmentioning

confidence: 99%

“…In [32] the method is applied to the data processing in the laser interferometric system. Table 1, taken from [32], represents some consecutively values observed from the laser interferometer where the reflector is stopped. There is a random spread of the observations, so, the center of the distribution should be estimated to locate the "zero" position more precisely.…”

Section: Resultsmentioning

confidence: 99%

Estimation of process capability indices from the results of limit gauge inspection of dimensional parameters in machining industry

Masterenko

Metel

2017

Mechanics & Industry

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Abstract. The process capability indices C p , C pk are widely used in the modern quality management as statistical measures of the ability of a process to produce output X within specification limits. The customer's requirement to ensure C p ≥ 1.33 is often applied in contracts. Capability indices estimates may be calculated with the estimates of the mean m and the variability 6s, and for it, the quality characteristic in a sample of pieces should be measured. It requires, in turn, using advanced measuring devices and well-qualified staff. From the other hand, quality inspection by attributes, fulfilled with limit gauges (go/no-go) is much simpler and has a higher performance, but it does not give the numerical values of the quality characteristic. The described method allows estimating the mean and the variability of the process on the basis of the results of limit gauge inspection with certain lower limit LCL and upper limit UCL, which separates the pieces into three groups: where X < LCL, number of pieces is n 1 , where LCL X < UCL, n 2 pieces, and where X ≥ UCL, n 3 pieces. So-called Pittman-type estimates, developed by the author, are functions of n 1 , n 2 , n 3 and allow calculation of the estimated m and s. Thus, C p and C pk also may be estimated without precise measurements. The estimates can be used in quality inspection of lots of pieces as well as in monitoring and control of the manufacturing process. It is very important for improving quality of articles in machining industry through their tolerance.

show abstract

Features of Numerical Processing of Measurement Information for High-Precision Linear and Angular Measurements

Cited by 6 publications

References 1 publication

Image-Based Precision Measurement Technology for the Quality Inspection of Crane Boom Materials

Image-Based Precision Measurement Technology for the Quality Inspection of Crane Boom Materials

Consistent process monitoring criterion based on control data for an alternative attribute for narrowed tolerance

Estimation of process capability indices from the results of limit gauge inspection of dimensional parameters in machining industry

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