基于优化故障树模型的机械液压系统原位检测研究

为了能够在不破坏系统现有的内部结构的前提下,给机械液压系统的维修工作提供有效数据参考,提出基于优化故障树模型的机械液压系统原位检测方法。考虑机械液压系统的组成结构,模拟机械液压系统运行过程,设置机械液压系统原位检测测点。在测点位置上采集系统运行数据,利用构建的优化故障树判断当前机械液压系统是否处于故障状态,针对故障状态下的机械液压系统,计算流量、液压泄漏量等参数,得出机械液压系统的原位检测结果。通过性能测试实验得出结论:与传统检测方法相比,优化设计方法在液压值、液压油流量和泄漏量三个方面的参数检测误差分别降低了4.3N/m、0.41L/min和0.36mL,且检测过程对系统的破坏程度更低,由此证明优化设计方法具有更高的检测性能。

Research on In-situ Detection of Mechanical Hydraulic System Based on Optimized Fault Tree Analysis Model

(1.The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing 400000
2.The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing 400000)
:In order to provide effective data reference for the maintenance of mechanical hydraulic system without destroying the existing internal structure of the system, an in-situ detection method of mechanical hydraulic system based on optimized fault tree analysis model is proposed. Consider the composition and structure of the mechanical hydraulic system, simulate the operation process of the mechanical hydraulic system, and set up in-situ testing points for the mechanical hydraulic system. Collect the system operation data at the measuring points, use the optimized fault tree analysis to judge whether the current mechanical hydraulic system is in fault status, calculate the flow, hydraulic leakage and other parameters for the mechanical hydraulic system in fault status, and obtain the in-situ inspection results of the mechanical hydraulic system. Through performance testing experiments, it is concluded that compared with traditional detection methods, the optimized design method has reduced parameter detection errors in hydraulic value, hydraulic oil flow rate, and leakage rate by 4.3N/m, 0.41L/min, and 0.36mL, respectively, and the detection process has a lower degree of damage to the system. This proves that the optimized design method has higher detection performance.