摘 要
随着汽车工业的快速发展，悬挂系统作为车辆行驶稳定性与舒适性的重要保障，其故障检测与维修技术成为提升车辆性能和安全性的重要研究方向。本研究旨在针对汽车悬挂系统常见故障类型及其诊断难点，提出一种基于多传感器数据融合的智能化故障检测方法。通过结合振动信号分析、神经网络模型以及专家系统规则库，实现了对悬挂系统故障的精准定位与量化评估。同时，研究开发了一套集成化维修指导方案，为实际维修工作提供了科学依据和技术支持。实验结果表明，该方法能够显著提高故障检测的准确率和效率，并有效降低误判率。本研究的主要创新点在于引入了数据驱动的智能诊断算法，突破了传统依赖人工经验的局限性，为悬挂系统的维护提供了新的技术路径，具有重要的理论价值和实际应用前景。
关键词：汽车悬挂系统；故障检测；多传感器数据融合；智能诊断算法；维修指导方案
Abstract
With the rapid development of the automotive industry, the suspension system, as a critical guarantee for vehicle driving stability and comfort, has drawn significant attention to its fault detection and maintenance technologies, which are essential for enhancing vehicle performance and safety. This study focuses on common fault types in automotive suspension systems and their diagnostic challenges, proposing an intelligent fault detection method based on multi-sensor data fusion. By integrating vibration signal analysis, neural network models, and expert system rule bases, this approach achieves precise localization and quantitative evaluation of suspension system faults. Additionally, an integrated maintenance guidance scheme was developed, providing scientific support and technical assistance for practical repair operations. Experimental results demonstrate that this method significantly improves the accuracy and efficiency of fault detection while effectively reducing misjudgment rates. The primary innovation of this research lies in the introduction of data-driven intelligent diagnostic algorithms, which overcome the limitations of traditional methods reliant on manual experience. This provides a novel technical pathway for suspension system maintenance, offering substantial theoretical significance and promising practical application prospects.
Keywords: Automobile Suspension System；Fault Detection；Multi-Sensor Data Fusion；Intelligent Diagnostic Algorithm；Maintenance Guidance Scheme
目 录
引言 1
一、悬挂系统故障检测技术分析 1
（一）故障检测方法概述 1
（二）常见故障类型识别 2
（三）检测技术应用现状 2
二、悬挂系统维修技术研究 2
（一）维修技术基本原理 2
（二）典型故障维修策略 3
（三）维修技术优化方向 3
三、故障诊断与维修案例分析 4
（一）实际案例数据采集 4
（二）案例中故障诊断流程 4
（三）维修效果评估方法 5
四、悬挂系统未来发展趋势探讨 5
（一）新技术在检测中的应用 5
（二）智能化维修技术展望 5
（三）行业标准与规范建议 6
结 论 6
致 谢 8
参考文献 9
随着汽车工业的快速发展，悬挂系统作为车辆行驶稳定性与舒适性的重要保障，其故障检测与维修技术成为提升车辆性能和安全性的重要研究方向。本研究旨在针对汽车悬挂系统常见故障类型及其诊断难点，提出一种基于多传感器数据融合的智能化故障检测方法。通过结合振动信号分析、神经网络模型以及专家系统规则库，实现了对悬挂系统故障的精准定位与量化评估。同时，研究开发了一套集成化维修指导方案，为实际维修工作提供了科学依据和技术支持。实验结果表明，该方法能够显著提高故障检测的准确率和效率，并有效降低误判率。本研究的主要创新点在于引入了数据驱动的智能诊断算法，突破了传统依赖人工经验的局限性，为悬挂系统的维护提供了新的技术路径，具有重要的理论价值和实际应用前景。
关键词：汽车悬挂系统；故障检测；多传感器数据融合；智能诊断算法；维修指导方案
Abstract
With the rapid development of the automotive industry, the suspension system, as a critical guarantee for vehicle driving stability and comfort, has drawn significant attention to its fault detection and maintenance technologies, which are essential for enhancing vehicle performance and safety. This study focuses on common fault types in automotive suspension systems and their diagnostic challenges, proposing an intelligent fault detection method based on multi-sensor data fusion. By integrating vibration signal analysis, neural network models, and expert system rule bases, this approach achieves precise localization and quantitative evaluation of suspension system faults. Additionally, an integrated maintenance guidance scheme was developed, providing scientific support and technical assistance for practical repair operations. Experimental results demonstrate that this method significantly improves the accuracy and efficiency of fault detection while effectively reducing misjudgment rates. The primary innovation of this research lies in the introduction of data-driven intelligent diagnostic algorithms, which overcome the limitations of traditional methods reliant on manual experience. This provides a novel technical pathway for suspension system maintenance, offering substantial theoretical significance and promising practical application prospects.
Keywords: Automobile Suspension System；Fault Detection；Multi-Sensor Data Fusion；Intelligent Diagnostic Algorithm；Maintenance Guidance Scheme
目 录
引言 1
一、悬挂系统故障检测技术分析 1
（一）故障检测方法概述 1
（二）常见故障类型识别 2
（三）检测技术应用现状 2
二、悬挂系统维修技术研究 2
（一）维修技术基本原理 2
（二）典型故障维修策略 3
（三）维修技术优化方向 3
三、故障诊断与维修案例分析 4
（一）实际案例数据采集 4
（二）案例中故障诊断流程 4
（三）维修效果评估方法 5
四、悬挂系统未来发展趋势探讨 5
（一）新技术在检测中的应用 5
（二）智能化维修技术展望 5
（三）行业标准与规范建议 6
结 论 6
致 谢 8
参考文献 9
