Research on Electrical Data Analysis Tool Based on Intelligent Diagnosis Technology

Jindai Qu, Yan Ji, Hongwei Guo, Shuang Hao
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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.
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基于智能诊断技术的电气数据分析工具研究
随着汽车智能化技术的不断发展,生产制造过程面临三大主要问题:1)车辆功能逐渐复杂化,文件开发数量不断增加,传统车辆电气故障分析困难;2)电气试验数据激增,对信息分析和逻辑判断技术的要求越来越高;3)车辆总线数据呈几何级数增长,数据分析的复杂性不断增加,周期时间不断增加。本文的目的是研究智能诊断技术背景下的电气数据分析,构建一套电气数据分析工具,利用数字技术辅助人工数据分析,实现电气系统故障的智能分析,提高电气电子原材料和制造过程的故障分析诊断能力。
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