摘 要
随着汽车工业的快速发展，自动变速器作为现代车辆的核心部件之一，其性能直接影响驾驶体验和行车安全。然而，自动变速器故障频发且诊断复杂，成为维修领域的技术难点。本研究以典型自动变速器故障为切入点，通过分析实际维修案例，探讨故障检测与维修的技术方法。研究采用理论分析与实证研究相结合的方式，结合故障树分析法和数据驱动诊断模型，对多个真实案例进行深入剖析。结果表明，通过构建系统化的故障诊断流程，能够显著提高故障定位的准确性和效率。此外，研究创新性地引入了基于机器学习的预测性维护策略，为故障早期预警提供了新思路。本研究不仅为维修技术人员提供了实用的参考方案，还为自动变速器故障诊断技术的发展奠定了基础，具有重要的理论价值和实践意义。
关键词：自动变速器故障；故障诊断流程；机器学习；预测性维护；数据驱动模型
Abstract
With the rapid development of the automotive industry, automatic transmissions, as one of the core components of modern vehicles, directly influence driving experience and traffic safety. However, frequent failures and complex diagnostics in automatic transmissions have become a technical challenge in the maintenance field. This study focuses on typical failures of automatic transmissions, exploring technical methods for fault detection and repair through the analysis of real-world maintenance cases. By integrating theoretical analysis with empirical research, and employing fault tree analysis and data-driven diagnostic models, multiple practical cases are thoroughly examined. The results indicate that constructing a systematic fault diagnosis procedure can significantly enhance the accuracy and efficiency of fault localization. Furthermore, this study innovatively introduces a predictive maintenance strategy based on machine learning, offering new insights into early failure warning. Not only does this research provide practical reference solutions for maintenance technicians, but it also lays a foundation for the development of automatic transmission fault diagnosis technology, demonstrating significant theoretical value and practical implications.
Keywords: Automatic Transmission Fault；Fault Diagnosis Procedure；Machine Learning；Predictive Maintenance；Data-Driven Model
目 录
引言 1
一、自动变速器故障概述 1
（一）故障类型分析 1
（二）故障成因探讨 2
（三）检测技术基础 2
二、故障检测方法研究 2
（一）数据采集与分析 2
（二）诊断工具应用 3
（三）检测流程优化 3
三、典型维修案例分析 4
（一）液压系统故障维修 4
（二）电子控制系统修复 4
（三）机械部件更换实践 4
四、维修策略与改进措施 5
（一）预防性维护方案 5
（二）维修效率提升方法 5
（三）技术人员培训需求 6
结 论 6
致 谢 7
参考文献 8
随着汽车工业的快速发展，自动变速器作为现代车辆的核心部件之一，其性能直接影响驾驶体验和行车安全。然而，自动变速器故障频发且诊断复杂，成为维修领域的技术难点。本研究以典型自动变速器故障为切入点，通过分析实际维修案例，探讨故障检测与维修的技术方法。研究采用理论分析与实证研究相结合的方式，结合故障树分析法和数据驱动诊断模型，对多个真实案例进行深入剖析。结果表明，通过构建系统化的故障诊断流程，能够显著提高故障定位的准确性和效率。此外，研究创新性地引入了基于机器学习的预测性维护策略，为故障早期预警提供了新思路。本研究不仅为维修技术人员提供了实用的参考方案，还为自动变速器故障诊断技术的发展奠定了基础，具有重要的理论价值和实践意义。
关键词：自动变速器故障；故障诊断流程；机器学习；预测性维护；数据驱动模型
Abstract
With the rapid development of the automotive industry, automatic transmissions, as one of the core components of modern vehicles, directly influence driving experience and traffic safety. However, frequent failures and complex diagnostics in automatic transmissions have become a technical challenge in the maintenance field. This study focuses on typical failures of automatic transmissions, exploring technical methods for fault detection and repair through the analysis of real-world maintenance cases. By integrating theoretical analysis with empirical research, and employing fault tree analysis and data-driven diagnostic models, multiple practical cases are thoroughly examined. The results indicate that constructing a systematic fault diagnosis procedure can significantly enhance the accuracy and efficiency of fault localization. Furthermore, this study innovatively introduces a predictive maintenance strategy based on machine learning, offering new insights into early failure warning. Not only does this research provide practical reference solutions for maintenance technicians, but it also lays a foundation for the development of automatic transmission fault diagnosis technology, demonstrating significant theoretical value and practical implications.
Keywords: Automatic Transmission Fault；Fault Diagnosis Procedure；Machine Learning；Predictive Maintenance；Data-Driven Model
目 录
引言 1
一、自动变速器故障概述 1
（一）故障类型分析 1
（二）故障成因探讨 2
（三）检测技术基础 2
二、故障检测方法研究 2
（一）数据采集与分析 2
（二）诊断工具应用 3
（三）检测流程优化 3
三、典型维修案例分析 4
（一）液压系统故障维修 4
（二）电子控制系统修复 4
（三）机械部件更换实践 4
四、维修策略与改进措施 5
（一）预防性维护方案 5
（二）维修效率提升方法 5
（三）技术人员培训需求 6
结 论 6
致 谢 7
参考文献 8
