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A SIMULATION-BASED APPROACH FOR FAULT DIAGNOSIS IN INDUSTRIAL FLUID POWER SYSTEMS

机译:基于仿真的工业流体电力系统故障诊断方法

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The development of simulation based diagnostic methods for engineering systems is of main importance for the modern production technology especially for the case of real-time detection of faults. This paper proposes an intelligent diagnostic approach for dynamic fluid power systems that will be implemented in web-based environment where simulation results and real-time data are compared on-line and the results are evaluated for the fault detection process. The experimental results are promising and the system could offers benefits for the remote fault diagnosis process.
机译:基于仿真的工程系统诊断方法的开发对于现代生产技术特别重要,特别是对于实时检测故障的情况。本文提出了一种用于动态流体电力系统的智能诊断方法,该智能诊断方法将在基于Web的环境中实现,其中仿真结果和实时数据在直线上进行比较,并且对故障检测过程评估结果。实验结果是有前途的,系统可以为远程故障诊断过程提供益处。

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