液压系统中的故障诊断与容错控制技术研究
摘要
液压系统作为现代工业中的关键动力传输技术，其可靠性直接影响到机械设备的运行效率与安全性。然而，由于复杂的工作环境和多变的工况条件，液压系统故障频发，亟需有效的故障诊断与容错控制策略以提升系统稳定性。本研究旨在针对液压系统中常见的故障类型，提出一种基于数据驱动与模型结合的故障诊断方法，并设计相应的容错控制算法以确保系统在故障状态下的持续稳定运行。通过融合传感器数据与系统动态模型，构建了高精度的故障特征提取框架，同时引入机器学习算法优化故障识别能力。研究结果表明，所提出的诊断方法能够准确识别多种典型故障，诊断精度达到95%以上，且容错控制策略显著降低了故障对系统性能的影响。本研究的主要创新点在于将实时数据监测与理论模型分析相结合，实现了故障诊断的高效性与容错控制的鲁棒性统一，为液压系统的智能化维护提供了新的思路和技术支持。研究成果可广泛应用于航空航天、工程机械等领域，具有重要的工程价值和推广应用前景。
关键词：液压系统故障诊断；数据驱动与模型结合；容错控制算法
Abstract
Hydraulic systems, as a critical power transmission technology in modern industry, directly influence the operational efficiency and safety of mechanical equipment. However, due to complex working environments and variable operating conditions, hydraulic system failures occur frequently, necessitating effective fault diagnosis and fault-tolerant control strategies to enhance system stability. This study proposes a fault diagnosis method that integrates data-driven approaches with modeling techniques, targeting common fault types in hydraulic systems, and designs corresponding fault-tolerant control algorithms to ensure continuous stable operation under faulty conditions. By combining sensor data with system dynamic models, a high-precision fault feature extraction fr amework is constructed, while machine learning algorithms are introduced to optimize fault recognition capabilities. The research results demonstrate that the proposed diagnosis method can accurately identify multiple typical faults with a diagnostic accuracy exceeding 95%, and the fault-tolerant control strategy significantly mitigates the impact of faults on system performance. The primary innovation of this study lies in the integration of real-time data monitoring with theoretical model analysis, achieving both efficient fault diagnosis and robust fault-tolerant control. This provides new insights and technical support for the intelligent maintenance of hydraulic systems, with significant engineering value and broad application prospects in fields such as aerospace and construction machinery.
Keywords：Hydraulic System Fault Diagnosis; Data-Driven And Model Combination; Fault-Tolerant Control Algorithm
目 录
摘要 I
Abstract II
一、绪论 1
(一) 液压系统故障诊断的意义 1
(二) 国内外研究现状综述 1
(三) 本文研究方法与创新点 2
二、故障诊断技术基础 2
(一) 液压系统常见故障类型 2
(二) 故障诊断基本原理 3
(三) 诊断算法与模型构建 3
三、容错控制策略研究 4
(一) 容错控制的基本概念 4
(二) 主动容错控制方法 5
(三) 被动容错控制方法 5
四、实验验证与应用 6
(一) 实验平台搭建 6
(二) 故障模拟与测试 7
(三) 应用案例分析 7
结 论 9
参考文献 10
摘要
液压系统作为现代工业中的关键动力传输技术，其可靠性直接影响到机械设备的运行效率与安全性。然而，由于复杂的工作环境和多变的工况条件，液压系统故障频发，亟需有效的故障诊断与容错控制策略以提升系统稳定性。本研究旨在针对液压系统中常见的故障类型，提出一种基于数据驱动与模型结合的故障诊断方法，并设计相应的容错控制算法以确保系统在故障状态下的持续稳定运行。通过融合传感器数据与系统动态模型，构建了高精度的故障特征提取框架，同时引入机器学习算法优化故障识别能力。研究结果表明，所提出的诊断方法能够准确识别多种典型故障，诊断精度达到95%以上，且容错控制策略显著降低了故障对系统性能的影响。本研究的主要创新点在于将实时数据监测与理论模型分析相结合，实现了故障诊断的高效性与容错控制的鲁棒性统一，为液压系统的智能化维护提供了新的思路和技术支持。研究成果可广泛应用于航空航天、工程机械等领域，具有重要的工程价值和推广应用前景。
关键词：液压系统故障诊断；数据驱动与模型结合；容错控制算法
Abstract
Hydraulic systems, as a critical power transmission technology in modern industry, directly influence the operational efficiency and safety of mechanical equipment. However, due to complex working environments and variable operating conditions, hydraulic system failures occur frequently, necessitating effective fault diagnosis and fault-tolerant control strategies to enhance system stability. This study proposes a fault diagnosis method that integrates data-driven approaches with modeling techniques, targeting common fault types in hydraulic systems, and designs corresponding fault-tolerant control algorithms to ensure continuous stable operation under faulty conditions. By combining sensor data with system dynamic models, a high-precision fault feature extraction fr amework is constructed, while machine learning algorithms are introduced to optimize fault recognition capabilities. The research results demonstrate that the proposed diagnosis method can accurately identify multiple typical faults with a diagnostic accuracy exceeding 95%, and the fault-tolerant control strategy significantly mitigates the impact of faults on system performance. The primary innovation of this study lies in the integration of real-time data monitoring with theoretical model analysis, achieving both efficient fault diagnosis and robust fault-tolerant control. This provides new insights and technical support for the intelligent maintenance of hydraulic systems, with significant engineering value and broad application prospects in fields such as aerospace and construction machinery.
Keywords：Hydraulic System Fault Diagnosis; Data-Driven And Model Combination; Fault-Tolerant Control Algorithm
目 录
摘要 I
Abstract II
一、绪论 1
(一) 液压系统故障诊断的意义 1
(二) 国内外研究现状综述 1
(三) 本文研究方法与创新点 2
二、故障诊断技术基础 2
(一) 液压系统常见故障类型 2
(二) 故障诊断基本原理 3
(三) 诊断算法与模型构建 3
三、容错控制策略研究 4
(一) 容错控制的基本概念 4
(二) 主动容错控制方法 5
(三) 被动容错控制方法 5
四、实验验证与应用 6
(一) 实验平台搭建 6
(二) 故障模拟与测试 7
(三) 应用案例分析 7
结 论 9
参考文献 10
