多重分形谱和高阶统计量在绕线同步电机绕组故障检测中的应用

M. E. I. Martínez, J. Antonino-Daviu, C. Platero, L. Dunai, J. Conejero, P. F. Córdoba
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引用次数: 3

摘要

本文提出了利用高阶累积量切片多重分形谱和定子电流信号的双相干性作为绕组同步电动机绕组故障检测的一种方法。在起动和稳态状态下分析这些信号。同样,提出了一种基于多重分形分析得到的标度指数的前三个对数累积量之和的定量指标。此外,还进行了起动和稳态的对比研究,得到了令人满意的结果,证明了该方法在实际应用中的潜力。
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Multifractal Spectrum and Higher Order Statistics for the Detection of Field Winding Faults in Wound Field Synchronous Motors
In this work, the application of multifractal spectrum of higher order cumulants slice and bicoherence of stator current signals is proposed as a way to detect field winding faults in wound field synchronous motors. These signals are analyzed both under starting and under steady-state regimes. Likewise, a quantitative indicator based on the summation of the first three log cumulants of the scaling exponents obtained from the multifractal analysis is proposed. In addition, a comparative study is carried out during starting and at steady-state, obtaining satisfactory results that prove the potential of the proposed methodology for its implementation in real applications.
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