摘 要
随着汽车工业的快速发展，排气系统作为汽车关键组成部分，其性能直接影响车辆排放和运行效率。然而，排气系统故障频发，不仅损害车辆性能，还可能加剧环境污染。为此，本文旨在深入探讨汽车排气系统的故障诊断与维修技术，以提升故障处理效率并优化系统性能。研究基于现代传感器技术和数据分析方法，结合实际案例，构建了一套综合性的故障诊断流程，并提出针对性的维修策略。通过实验验证，该方法能够准确识别多种常见故障类型，如催化转化器失效、氧传感器异常等，同时显著缩短维修时间。本文创新性地引入了智能化诊断算法，实现了对排气系统故障的精准定位与预测，为行业提供了高效的技术支持。研究成果对提高汽车排气系统可靠性、降低维护成本以及减少排放污染具有重要意义，为未来智能维修技术的发展奠定了基础。
关键词：汽车排气系统；故障诊断；维修技术；智能化诊断算法；催化转化器失效
Abstract
With the rapid development of the automotive industry, the exhaust system, as a critical component of vehicles, directly affects emissions and operational efficiency. However, frequent failures in the exhaust system not only impair vehicle performance but may also exacerbate environmental pollution. To address these issues, this paper aims to explore fault diagnosis and maintenance techniques for automotive exhaust systems to enhance fault resolution efficiency and optimize system performance. Based on modern sensor technology and data analysis methods, combined with practical case studies, a comprehensive fault diagnosis procedure is developed, along with targeted repair strategies. Experimental validation demonstrates that this approach can accurately identify various common fault types, such as catalytic converter failure and oxygen sensor anomalies, while significantly reducing repair time. Innovatively, this study incorporates intelligent diagnostic algorithms to achieve precise localization and prediction of exhaust system faults, providing effective technical support for the industry. The research findings are of great significance in improving the reliability of automotive exhaust systems, reducing maintenance costs, and minimizing emission pollution, laying a foundation for the future development of intelligent maintenance technologies.
Keywords: Automobile Exhaust System；Fault Diagnosis；Maintenance Technology；Intelligent Diagnostic Algorithm；Catalyst Converter Failure
目 录
引言 1
一、汽车排气系统故障概述 1
（一）排气系统基本结构与功能 1
（二）常见故障类型分析 2
（三）故障对车辆性能的影响 2
二、故障诊断技术与方法 2
（一）诊断工具的应用研究 3
（二）数据采集与分析方法 3
（三）典型故障案例解析 3
三、维修技术与工艺改进 4
（一）维修流程标准化探讨 4
（二）关键部件维修技术研究 4
（三）新材料与新技术的应用 5
四、故障预防与维护策略 5
（一）定期检查的重要性分析 5
（二）预防性维护措施研究 5
（三）提高系统可靠性的建议 6
结 论 6
致 谢 8
参考文献 9
随着汽车工业的快速发展，排气系统作为汽车关键组成部分，其性能直接影响车辆排放和运行效率。然而，排气系统故障频发，不仅损害车辆性能，还可能加剧环境污染。为此，本文旨在深入探讨汽车排气系统的故障诊断与维修技术，以提升故障处理效率并优化系统性能。研究基于现代传感器技术和数据分析方法，结合实际案例，构建了一套综合性的故障诊断流程，并提出针对性的维修策略。通过实验验证，该方法能够准确识别多种常见故障类型，如催化转化器失效、氧传感器异常等，同时显著缩短维修时间。本文创新性地引入了智能化诊断算法，实现了对排气系统故障的精准定位与预测，为行业提供了高效的技术支持。研究成果对提高汽车排气系统可靠性、降低维护成本以及减少排放污染具有重要意义，为未来智能维修技术的发展奠定了基础。
关键词：汽车排气系统；故障诊断；维修技术；智能化诊断算法；催化转化器失效
Abstract
With the rapid development of the automotive industry, the exhaust system, as a critical component of vehicles, directly affects emissions and operational efficiency. However, frequent failures in the exhaust system not only impair vehicle performance but may also exacerbate environmental pollution. To address these issues, this paper aims to explore fault diagnosis and maintenance techniques for automotive exhaust systems to enhance fault resolution efficiency and optimize system performance. Based on modern sensor technology and data analysis methods, combined with practical case studies, a comprehensive fault diagnosis procedure is developed, along with targeted repair strategies. Experimental validation demonstrates that this approach can accurately identify various common fault types, such as catalytic converter failure and oxygen sensor anomalies, while significantly reducing repair time. Innovatively, this study incorporates intelligent diagnostic algorithms to achieve precise localization and prediction of exhaust system faults, providing effective technical support for the industry. The research findings are of great significance in improving the reliability of automotive exhaust systems, reducing maintenance costs, and minimizing emission pollution, laying a foundation for the future development of intelligent maintenance technologies.
Keywords: Automobile Exhaust System；Fault Diagnosis；Maintenance Technology；Intelligent Diagnostic Algorithm；Catalyst Converter Failure
目 录
引言 1
一、汽车排气系统故障概述 1
（一）排气系统基本结构与功能 1
（二）常见故障类型分析 2
（三）故障对车辆性能的影响 2
二、故障诊断技术与方法 2
（一）诊断工具的应用研究 3
（二）数据采集与分析方法 3
（三）典型故障案例解析 3
三、维修技术与工艺改进 4
（一）维修流程标准化探讨 4
（二）关键部件维修技术研究 4
（三）新材料与新技术的应用 5
四、故障预防与维护策略 5
（一）定期检查的重要性分析 5
（二）预防性维护措施研究 5
（三）提高系统可靠性的建议 6
结 论 6
致 谢 8
参考文献 9
