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Accurate detection of light contact of thermal fly-height control sliders using advanced singular value decomposition

机译:使用高级奇异值分解来精确检测热飞高控制滑块的光接触

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摘要

The dynamic contact and nonlinear dynamics of TFC slider has been widely characterized by harmonics in FFT of vibrational signal. The accurate determination of the harmonics have been challenging as the small peaks of the harmonics in FFT are frequently hidden by varied deterministic vibrations and noise. In this paper, advanced singular value decomposition method is employed to enhance the accuracy of the detection of the multi-harmonics. The track matrix of attractor of TFC slider vibration time series in light contact with disk is reconstructed in phase space. By using singular value decomposition theory, the singular spectrum from reconstructed attractor track matrix is estimated in order to increase the signal-to-noise ratio of the LDV response signal, which is further used for the accurate detection of uncertain, abrupt information and for early slider-disk light contact detection. This approach enables signal noise attenuation, which is critical to the accurate detection of weak harmonics, and enables the accurate extraction of light contact information, particularly for the transient abrupt cases, as well as improves the accuracy of harmonics-based system identification.
机译:TFC滑块的动态接触和非线性动力学已经广泛地以振动信号FFT中的谐波为特征。由于FFT中谐波的小峰值经常被各种确定性的振动和噪声所掩盖,因此谐波的准确确定一直具有挑战性。本文采用先进的奇异值分解方法来提高多谐波的检测精度。在相空间中重建了与磁盘轻微接触的TFC滑块振动时间序列的吸引子的轨迹矩阵。通过使用奇异值分解理论,从重构的吸引子轨迹矩阵中估计奇异频谱,以提高LDV响应信号的信噪比,从而进一步用于不确定,突变信息的准确检测和早期检测。滑盘光接触检测。这种方法可以实现信号噪声衰减,这对于精确检测弱谐波至关重要,并且可以精确提取光接触信息,尤其是对于瞬态突变情况,还可以提高基于谐波的系统识别的准确性。

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