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A Practical Approach to Detect Faults of Marine Diesel Engine

机译:一种检测船用柴油发动机故障的实用方法

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The existing marine diesel engine fault diagnosis methods mainly have the problems of model complexity, large amount of calculation, and unable to carry out real-time fault diagnosis of diesel engine. In this paper, a simple and practical approach to detect faults of marine diesel engine is studied. According to a set of sensing data, the fitting equation of each parameter changing with the running state of diesel engine was fitted statistically. Then, the threshold range of each parameter changing with the running state of diesel engine was fitted. During fault diagnosis, the real-time parameters of the sensor in the current running state were calculated according to the real-time running data. If the parameters exceed the threshold range, it is abnormal operation. Because the sensor signal corresponds to the operation status of each specific component, the abnormal evaluation directly indicates the specific fault. Experimental results show that the method has a good practical effect.
机译:现有的海洋柴油发动机故障诊断方法主要具有模型复杂性的问题,计算量大,无法执行柴油发动机的实时故障诊断。在本文中,研究了一种简单实用的方法来检测船用柴油发动机故障的方法。根据一组感测数据,统计上拟合柴油发动机运行状态的每个参数的拟合方程。然后,安装了用柴油发动机的运行状态改变的每个参数的阈值范围。在故障诊断期间,根据实时运行数据计算当前运行状态中传感器的实时参数。如果参数超过阈值范围,则它是异常操作。因为传感器信号对应于每个特定组件的操作状态,所以异常评估直接指示特定的故障。实验结果表明,该方法具有良好的实际效果。

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