Author(s)

Jindai Qu ¹, Yan Ji ¹, Hongwei Guo ¹, Shuang Hao ¹

Affiliation(s)

¹ FAW Group Engineering and Production Logistics Department - General Assembly Process Department, Changchun City, Jilin Province, China

Corresponding Author

Jindai Qu

ABSTRACT

With the continuous development of automotive intelligent technology, the production and manufacturing process is facing three main problems: 1) the vehicle function is gradually complicated, the number of file development is increasing, and the traditional vehicle electrical fault analysis is difficult; 2) the electrical test data is proliferating, and the requirements for message analysis and logic judgment technology are increasing; 3) the vehicle bus data is geometrically growing, and the complexity of data analysis is increasing and the cycle time is growing. The purpose of this paper is to study electrical data analysis in the context of intelligent diagnosis technology, build a set of electrical data analysis tools, use digital technology to assist manual data analysis, realize intelligent analysis of electrical system faults, and improve the fault analysis and diagnosis capability of electrical and electronic raw and manufacturing process.

KEYWORDS

Intelligent diagnosis technology, Electrical data analysis, Intelligent failure analysis

CITE THIS PAPER

Jindai Qu, Yan Ji, Hongwei Guo, Shuang Hao, Research on Electrical Data Analysis Tool Based on Intelligent Diagnosis Technology. Journal of Electronics and Information Science (2022) Vol. 7: 24-29. DOI: http://dx.doi.org/10.23977/jeis.2022.070304.

REFERENCES

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