JACIII Vol.25 No.1 pp. 90-100
doi: 10.20965/jaciii.2021.p0090


Monitoring and Analysis of Auto Body Precision Based on Big Data

Yixin Yang*,**,†, Jianjun Gao**, and Konghui Guo*

*College of Mechanical and Transportation Engineering, Hunan University
Lushan Road, Yuelu District, Changsha, Hunan 410082, China

**BAIC Motor Co., Ltd. Zhuzhou Branch
Liyu Industrial Park, Tianyuan District, Zhuzhou, Hunan 412007, China

Corresponding author

October 1, 2020
November 17, 2020
January 20, 2021
big data, PCA, precision monitoring, intelligent manufacturing, automobile industry

In this paper, a Hadoop-based big data system for auto body precision is established. The system unifies the elements that affect auto body precision into a big data platform, which is more efficient than traditional management methods. Using big data analysis, we devised algorithms to improve the efficiency and accuracy of body precision monitoring. Furthermore, we developed techniques to analyze complex dimension deviation problems using a correlation analysis method, principal component analysis (PCA), and improved PCA method. We further established failure modes and devised monitoring and diagnosis models based on time series analysis.

Auto body precision analysis based on big data

Auto body precision analysis based on big data

Cite this article as:
Y. Yang, J. Gao, and K. Guo, “Monitoring and Analysis of Auto Body Precision Based on Big Data,” J. Adv. Comput. Intell. Intell. Inform., Vol.25 No.1, pp. 90-100, 2021.
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Last updated on Apr. 22, 2024