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首页> 外文期刊>IEEE / ASME Transactions on Mechatronics >Fault Identification in Rotor/Magnetic Bearing Systems Using Discrete Time Wavelet Coefficients
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Fault Identification in Rotor/Magnetic Bearing Systems Using Discrete Time Wavelet Coefficients

机译：基于离散时间小波系数的转子/电磁轴承系统故障识别

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摘要

A method of online fault identification in rotor/magnetic bearing systems is presented using wavelet analysis. A filter bank approach is taken to identify the discrete time wavelet coefficients of the rotor displacement signals. From artifacts present in the discrete time wavelet series associated with specific faults, it is shown that it is possible to identify both the onset time and the fault type. This method is demonstrated for simulations of a flexible rotor/active magnetic bearing assembly during auxiliary bearing contact and direct synchronous forcing for a range covering flexible critical speeds. Experimental validation was performed on a flexible rotor/active magnetic bearing facility undergoing sudden rotor unbalance, resulting in rotor orbits with and without auxiliary bearing contact. Artifacts associated with both the sudden mass loss and the rotor/bearing contact are identified.
机译：提出了一种基于小波分析的转子/电磁轴承系统在线故障识别方法。采用滤波器组方法来识别转子位移信号的离散时间小波系数。从与特定故障相关的离散时间小波序列中出现的伪影，可以识别出开始时间和故障类型。演示了此方法，用于在辅助轴承接触和直接同步强制作用下模拟挠性转子/主动磁轴承组件的范围，该范围涵盖了挠性临界转速。在经历突然的转子不平衡的挠性转子/主动磁轴承装置上进行了实验验证，从而导致了带有或不带有辅助轴承接触的转子轨道。识别与突然的质量损失和转子/轴承接触相关的伪像。

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