Analysis of Product Assembly Quality Using Regression Recovery Methods

The practical significance of this work lies in the possibility of using the developed program to analyze the actual accuracy and distribution laws of the geometric parameters of the assembled components. The analysis of the results showed that the actual distribution of vector errors obtained in production conditions can be described by many different distribution functions. In most cases, vector errors determining the geometric accuracy of the surface are described by a modified Rayleigh law. This law is convenient for its computer interpretation when calculating vector and scalar-vector dimensional chains using statistical data obtained in production.

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Published
2025-04-08
DOI
https://doi.org/10.1109/reepe63962.2025.10970790
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Analysis of Product Assembly Quality Using Regression Recovery Methods

M. E. Stavrovsky, А. В. Рагуткин, I. M. Sidorov, Indira I. Fatklislamova et al.
Industrial Vision Systems and Defect Detection
article

Analysis of Product Assembly Quality Using Regression Recovery Methods

M. E. Stavrovsky, А. В. Рагуткин, I. M. Sidorov, Indira I. Fatklislamova, Timur A. Khasanov
article en

Abstract

The practical significance of this work lies in the possibility of using the developed program to analyze the actual accuracy and distribution laws of the geometric parameters of the assembled components. The analysis of the results showed that the actual distribution of vector errors obtained in production conditions can be described by many different distribution functions. In most cases, vector errors determining the geometric accuracy of the surface are described by a modified Rayleigh law. This law is convenient for its computer interpretation when calculating vector and scalar-vector dimensional chains using statistical data obtained in production.

Bauman Moscow State Technical University (RU), MIREA - Russian Technological University (RU)
Openalex Percentile: Top 86%
Industrial Vision Systems and Defect Detection
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