摘 要
随着汽车工业的快速发展和车辆保有量的持续增长，传动系统作为汽车核心部件之一，其故障诊断与维修技术的研究显得尤为重要。本文旨在探讨现代汽车传动系统常见故障的成因及其高效诊断与维修方法，以提升车辆运行可靠性及维修效率。研究基于大数据分析与人工智能算法，结合实际案例构建了传动系统故障诊断模型，并通过实验验证了模型的准确性和实用性。结果表明，该模型能够显著提高故障识别率，缩短维修时间，并为精准维修提供科学依据。本文创新性地将机器学习技术引入传动系统故障诊断领域，实现了从传统经验判断向智能化、数据驱动型诊断模式的转变，为汽车行业提供了新的技术支持与理论参考。研究成果对优化汽车维修流程、降低维护成本以及推动智能维修技术发展具有重要意义。
关键词：汽车传动系统；故障诊断；机器学习；大数据分析；维修效率
Abstract
With the rapid development of the automotive industry and the continuous growth in vehicle ownership, research on fault diagnosis and maintenance technology for the transmission system, as one of the core components of automobiles, has become particularly important. This study aims to investigate the causes of common faults in modern automotive transmission systems and explore efficient diagnostic and repair methods to enhance vehicle operational reliability and maintenance efficiency. Based on big data analysis and artificial intelligence algorithms, combined with practical case studies, a fault diagnosis model for transmission systems was constructed and experimentally validated for its accuracy and applicability. The results indicate that this model can significantly improve fault recognition rates, reduce repair time, and provide a scientific basis for precise maintenance. Innovatively, this study integrates machine learning techniques into the field of transmission system fault diagnosis, achieving a transformation from traditional experience-based judgment to an intelligent, data-driven diagnostic model. This advancement offers new technical support and theoretical references for the automotive industry. The research findings are of great significance for optimizing automotive maintenance processes, reducing maintenance costs, and promoting the development of intelligent maintenance technologies.
Keywords: Automobile Transmission System；Fault Diagnosis；Machine Learning；Big Data Analysis；Maintenance Efficiency
目 录
引言 1
一、汽车传动系统故障概述 1
（一）传动系统常见故障类型 1
（二）故障形成的主要原因分析 1
（三）故障对车辆性能的影响 2
二、故障诊断技术与方法研究 2
（一）常用诊断工具的应用 2
（二）数据驱动的故障诊断方法 3
（三）人工智能在诊断中的作用 3
三、维修技术及其优化策略 3
（一）标准维修流程解析 4
（二）高效维修技术的应用 4
（三）维修质量控制措施 4
四、故障诊断与维修案例分析 5
（一）典型故障案例剖析 5
（二）维修方案的设计与实施 5
（三）案例总结与经验分享 6
结 论 6
致 谢 7
参考文献 8
随着汽车工业的快速发展和车辆保有量的持续增长，传动系统作为汽车核心部件之一，其故障诊断与维修技术的研究显得尤为重要。本文旨在探讨现代汽车传动系统常见故障的成因及其高效诊断与维修方法，以提升车辆运行可靠性及维修效率。研究基于大数据分析与人工智能算法，结合实际案例构建了传动系统故障诊断模型，并通过实验验证了模型的准确性和实用性。结果表明，该模型能够显著提高故障识别率，缩短维修时间，并为精准维修提供科学依据。本文创新性地将机器学习技术引入传动系统故障诊断领域，实现了从传统经验判断向智能化、数据驱动型诊断模式的转变，为汽车行业提供了新的技术支持与理论参考。研究成果对优化汽车维修流程、降低维护成本以及推动智能维修技术发展具有重要意义。
关键词：汽车传动系统；故障诊断；机器学习；大数据分析；维修效率
Abstract
With the rapid development of the automotive industry and the continuous growth in vehicle ownership, research on fault diagnosis and maintenance technology for the transmission system, as one of the core components of automobiles, has become particularly important. This study aims to investigate the causes of common faults in modern automotive transmission systems and explore efficient diagnostic and repair methods to enhance vehicle operational reliability and maintenance efficiency. Based on big data analysis and artificial intelligence algorithms, combined with practical case studies, a fault diagnosis model for transmission systems was constructed and experimentally validated for its accuracy and applicability. The results indicate that this model can significantly improve fault recognition rates, reduce repair time, and provide a scientific basis for precise maintenance. Innovatively, this study integrates machine learning techniques into the field of transmission system fault diagnosis, achieving a transformation from traditional experience-based judgment to an intelligent, data-driven diagnostic model. This advancement offers new technical support and theoretical references for the automotive industry. The research findings are of great significance for optimizing automotive maintenance processes, reducing maintenance costs, and promoting the development of intelligent maintenance technologies.
Keywords: Automobile Transmission System；Fault Diagnosis；Machine Learning；Big Data Analysis；Maintenance Efficiency
目 录
引言 1
一、汽车传动系统故障概述 1
（一）传动系统常见故障类型 1
（二）故障形成的主要原因分析 1
（三）故障对车辆性能的影响 2
二、故障诊断技术与方法研究 2
（一）常用诊断工具的应用 2
（二）数据驱动的故障诊断方法 3
（三）人工智能在诊断中的作用 3
三、维修技术及其优化策略 3
（一）标准维修流程解析 4
（二）高效维修技术的应用 4
（三）维修质量控制措施 4
四、故障诊断与维修案例分析 5
（一）典型故障案例剖析 5
（二）维修方案的设计与实施 5
（三）案例总结与经验分享 6
结 论 6
致 谢 7
参考文献 8
