摘 要
随着汽车工业的快速发展，转向系统作为车辆操控性能的核心部件，其保养与故障排除技术的重要性日益凸显。本研究旨在深入探讨汽车转向系统的保养策略及故障诊断方法，以提升车辆运行的安全性和可靠性。通过文献分析、实验测试和案例研究相结合的方法，本文系统梳理了转向系统的常见故障类型及其成因，并提出了一套基于数据驱动的智能化故障诊断方案。研究结果表明，通过定期保养和精准诊断，可显著降低转向系统故障率，延长部件使用寿命。此外，本研究创新性地引入了人工智能算法优化故障预测模型，实现了对潜在故障的早期预警，为转向系统的维护提供了科学依据。研究成果不仅为汽车维修行业提供了技术参考，还为未来智能汽车转向系统的开发奠定了理论基础。
关键词：汽车转向系统；故障诊断；保养策略；数据驱动；人工智能算法
Abstract
With the rapid development of the automotive industry, the steering system, as a core component of vehicle handling performance, has increasingly highlighted the importance of its maintenance and troubleshooting techniques. This study aims to explore maintenance strategies and fault diagnosis methods for automotive steering systems in order to enhance the safety and reliability of vehicle operation. By integrating literature analysis, experimental testing, and case studies, this paper systematically examines common fault types and their causes in steering systems and proposes an intelligent fault diagnosis scheme based on data-driven approaches. The results indicate that regular maintenance and precise diagnosis can significantly reduce the failure rate of steering systems and extend the lifespan of components. Furthermore, this research innovatively incorporates artificial intelligence algorithms to optimize fault prediction models, enabling early warnings of potential failures and providing a scientific basis for steering system maintenance. The findings not only offer technical references for the automotive repair industry but also lay a theoretical foundation for the development of future intelligent steering systems in vehicles.
Keywords: Automobile Steering System；Fault Diagnosis；Maintenance Strategy；Data Driven；Artificial Intelligence Algorithm
目 录
引言 1
一、汽车转向系统基础知识研究 1
（一）转向系统结构与功能分析 1
（二）主要类型及其技术特点 1
（三）系统运行原理与影响因素 2
二、汽车转向系统的保养技术研究 2
（一）保养周期与规范制定 2
（二）关键部件的日常维护方法 3
（三）保养对系统性能的影响评估 3
三、汽车转向系统常见故障分析 3
（一）故障类型与成因分类 4
（二）典型故障案例解析 4
（三）故障诊断的技术手段 4
四、汽车转向系统故障排除方法研究 5
（一）排除流程与工具选择 5
（二）常见故障的解决策略 5
（三）维修后的性能测试与验证 6
结 论 6
致 谢 7
参考文献 8
随着汽车工业的快速发展，转向系统作为车辆操控性能的核心部件，其保养与故障排除技术的重要性日益凸显。本研究旨在深入探讨汽车转向系统的保养策略及故障诊断方法，以提升车辆运行的安全性和可靠性。通过文献分析、实验测试和案例研究相结合的方法，本文系统梳理了转向系统的常见故障类型及其成因，并提出了一套基于数据驱动的智能化故障诊断方案。研究结果表明，通过定期保养和精准诊断，可显著降低转向系统故障率，延长部件使用寿命。此外，本研究创新性地引入了人工智能算法优化故障预测模型，实现了对潜在故障的早期预警，为转向系统的维护提供了科学依据。研究成果不仅为汽车维修行业提供了技术参考，还为未来智能汽车转向系统的开发奠定了理论基础。
关键词：汽车转向系统；故障诊断；保养策略；数据驱动；人工智能算法
Abstract
With the rapid development of the automotive industry, the steering system, as a core component of vehicle handling performance, has increasingly highlighted the importance of its maintenance and troubleshooting techniques. This study aims to explore maintenance strategies and fault diagnosis methods for automotive steering systems in order to enhance the safety and reliability of vehicle operation. By integrating literature analysis, experimental testing, and case studies, this paper systematically examines common fault types and their causes in steering systems and proposes an intelligent fault diagnosis scheme based on data-driven approaches. The results indicate that regular maintenance and precise diagnosis can significantly reduce the failure rate of steering systems and extend the lifespan of components. Furthermore, this research innovatively incorporates artificial intelligence algorithms to optimize fault prediction models, enabling early warnings of potential failures and providing a scientific basis for steering system maintenance. The findings not only offer technical references for the automotive repair industry but also lay a theoretical foundation for the development of future intelligent steering systems in vehicles.
Keywords: Automobile Steering System；Fault Diagnosis；Maintenance Strategy；Data Driven；Artificial Intelligence Algorithm
目 录
引言 1
一、汽车转向系统基础知识研究 1
（一）转向系统结构与功能分析 1
（二）主要类型及其技术特点 1
（三）系统运行原理与影响因素 2
二、汽车转向系统的保养技术研究 2
（一）保养周期与规范制定 2
（二）关键部件的日常维护方法 3
（三）保养对系统性能的影响评估 3
三、汽车转向系统常见故障分析 3
（一）故障类型与成因分类 4
（二）典型故障案例解析 4
（三）故障诊断的技术手段 4
四、汽车转向系统故障排除方法研究 5
（一）排除流程与工具选择 5
（二）常见故障的解决策略 5
（三）维修后的性能测试与验证 6
结 论 6
致 谢 7
参考文献 8
