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首页> 外文期刊>Mechanical systems and signal processing >Enhancing gearbox vibration signals under time-varying operating conditions by combining a whitening procedure and a synchronous processing method
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Enhancing gearbox vibration signals under time-varying operating conditions by combining a whitening procedure and a synchronous processing method

机译：通过组合白化过程和同步处理方法，在时变运行条件下增强齿轮箱振动信号

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摘要

Condition monitoring is very important to avoid unexpected breakdowns of expensive rotating machines found in the power generation and mining industries. The fault informa-tion in vibration signals is often buried in low energy frequency bands. In addition to this, time-varying operating conditions and the presence of impulsive components result in the signal to have time-varying spectral content, which impedes the condition inference pro-cess. The instantaneous power spectrum is a powerful method that for bearing and gear damage detection under time-varying operating conditions. In this work, we propose a new method of using the instantaneous power spectrum for improved fault diagnosis under time-varying conditions by enhancing the fault information in the vibration signals. It is shown on experimental datasets that the proposed method enhances the fault infor-mation in the signal, whereafter it can be used to obtain reliable condition indicators under time-varying operating conditions.
机译：条件监测非常重要，避免发电和采矿行业中发现的昂贵旋转机器的意外故障。振动信号中的故障信息通常埋在低能量频带中。除此之外，时间变化的操作条件和脉冲部件的存在，导致信号具有时变的光谱含量，其阻碍了条件推理Pro-CESS。瞬时功率谱是一种强大的方法，用于在时变运行条件下的轴承和齿轮损坏检测。在这项工作中，通过增强振动信号中的故障信息，提出了一种使用瞬时功率谱的新方法，以在时变条件下改进的故障诊断。它显示在实验数据集上，所提出的方法增强了信号中的故障信息，然后可用于在时变的操作条件下获得可靠的条件指示器。

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