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Parametric Bispectrum Analysis of Cracked Rotor Based on Blind Identification of Time Series Models

机译:基于盲识别时间序列模型的裂纹转子参数分布分析

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The crack is a very serious defect in the rotor system. However, compared with any other defects, diagnosis of the rotor crack is more difficult, and its potential harm is similarly very serious. Therefore, it is very urgent and necessary to detect and diagnose the rotor crack effectively. In this paper, an approach of bispectrum analysis based on blind identification of time series model is proposed, and this approach is then applied to the fault diagnosis of the rotor crack. The bispectrum characteristics of the cracked rotor with cracks of different depth and location are investigated, and some valuable results are obtained. This approach provides a new idea and method for the diagnosis of the rotor crack. The experimental results show that this approach is very effective.
机译:裂缝是转子系统的一个非常严重的缺陷。然而,与任何其他缺陷相比,转子裂纹的诊断更困难,其潜在的伤害类似地非常严重。因此,有效地检测和诊断转子裂缝非常迫切。本文提出了一种基于时间序列模型盲识别的双谱分析的方法,然后将这种方法应用于转子裂纹的故障诊断。研究了具有不同深度和位置的裂缝的裂纹转子的双谱特性,获得了一些有价值的结果。这种方法提供了用于诊断转子裂缝的新思想和方法。实验结果表明,这种方法非常有效。

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