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首页> 外文期刊>Mechanical systems and signal processing >Pseudo-fault signal assisted EMD for fault detection and isolation in rotating machines
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Pseudo-fault signal assisted EMD for fault detection and isolation in rotating machines

机译：伪故障信号辅助EMD，用于旋转机械中的故障检测和隔离

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摘要

This paper presents a novel data driven technique for the detection and isolation of faults, which generate impacts in a rotating equipment. The technique is built upon the principles of empirical mode decomposition (EMD), envelope analysis and pseudo-fault signal for fault separation. Firstly, the most dominant intrinsic mode function (IMF) is identified using EMD of a raw signal, which contains all the necessary information about the faults. The envelope of this IMF is often modulated with multiple vibration sources and noise. A second level decomposition is performed by applying pseudo-fault signal (PFS) assisted EMD on the envelope. A pseudo-fault signal is constructed based on the known fault characteristic frequency of the particular machine. The objective of using external (pseudo-fault) signal is to isolate different fault frequencies, present in the envelope. The pseudo-fault signal serves dual purposes: (ⅰ) it solves the mode mixing problem inherent in EMD, (ⅱ) it isolates and quantifies a particular fault frequency component. The proposed technique is suitable for real-time implementation, which has also been validated on simulated fault and experimental data corresponding to a bearing and a gear-box setup, respectively.
机译：本文提出了一种新的数据驱动技术，用于检测和隔离故障，这些故障会在旋转设备中产生影响。该技术基于经验模式分解（EMD），包络分析和伪故障信号进行故障分离的原理。首先，使用原始信号的EMD识别最主要的固有模式函数（IMF），其中包含有关故障的所有必要信息。该IMF的包络经常被多个振动源和噪声调制。通过在包络上应用伪故障信号（PFS）辅助的EMD来执行第二级分解。基于特定机器的已知故障特征频率来构造伪故障信号。使用外部（伪故障）信号的目的是隔离包络中存在的不同故障频率。伪故障信号具有双重目的：（ⅰ）解决了EMD固有的模式混合问题，（ⅱ）隔离并量化了特定故障频率分量。所提出的技术适用于实时实施，该技术也已分别在与轴承和齿轮箱设置相对应的模拟故障和实验数据上得到了验证。

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