[1] |
吴峰崎,孟光,荆建平.基于加速度信号全谱分析的转子碰摩故障特征提取实验研究[J]. 振动与冲击, 2006, 25(2): 44-47.WU Fengqi, MENG Guang, JING Jianping. Feature extraction based on acceleration signals full spectrum analysis for compound rub malfunctions of rotor[J]. Journal of Vibration and Shock, 2006, 25(2): 44-47.
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[2] |
HUANG N E, SHEN Z, LONG S R. A new view of nonlinear water waves: The Hilbert spectrum[J]. Annual Review of Fluid Mechanics, 1999, 31: 417-457.
|
[3] |
HUANG N E, SHEN Z, LONG S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society A:Mathematical, Physical and Engineering Sciences, 1998, 454(1971): 903-995.
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[4] |
REHMAN N, MANDIC D P. Multivariate empirical mode decomposition[J]. Proceedings of the Royal Society A: Mathematical,Physical and Engineering Sciences, 2010, 466(2117): 1 291-1 302.
|
[5] |
REHMAN N U, XIA Y, MANDIC D P, et al. Application of multivariate empirical mode decomposition for seizure detection in EEG signals[C]// 2010 Annual International Conference of the IEEE: Engineering in Medicine and Biology Society. Piscataway: IEEE Press,2010: 1 650-1 653.
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[6] |
胡彦红,张雷,林建中,等. 基于全息谱的转子系统故障诊断分析[J]. 振动与冲击, 2009, 28(12): 164-166.HU Yanhong, ZHANG Lei, LIN Jianzhong, et al. Diagnosis analysis of rotor system based on holo-spectrum[J]. Journal of Vibration and Shock, 2009, 28(12): 164-166.
|
[7] |
屈梁生,史东锋. 全息谱十年:回顾与展望[J]. 振动、测试与诊断, 1998, 18(4): 235-242.QU Liangsheng, SHI Dongfeng. Holo-spectrum during the past decade: Review & prospect[J]. Journal of Vibration, Measurement & Diagnosis, 1998, 18(4): 235-242.
|
[1] |
吴峰崎,孟光,荆建平.基于加速度信号全谱分析的转子碰摩故障特征提取实验研究[J]. 振动与冲击, 2006, 25(2): 44-47.WU Fengqi, MENG Guang, JING Jianping. Feature extraction based on acceleration signals full spectrum analysis for compound rub malfunctions of rotor[J]. Journal of Vibration and Shock, 2006, 25(2): 44-47.
|
[2] |
HUANG N E, SHEN Z, LONG S R. A new view of nonlinear water waves: The Hilbert spectrum[J]. Annual Review of Fluid Mechanics, 1999, 31: 417-457.
|
[3] |
HUANG N E, SHEN Z, LONG S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society A:Mathematical, Physical and Engineering Sciences, 1998, 454(1971): 903-995.
|
[4] |
REHMAN N, MANDIC D P. Multivariate empirical mode decomposition[J]. Proceedings of the Royal Society A: Mathematical,Physical and Engineering Sciences, 2010, 466(2117): 1 291-1 302.
|
[5] |
REHMAN N U, XIA Y, MANDIC D P, et al. Application of multivariate empirical mode decomposition for seizure detection in EEG signals[C]// 2010 Annual International Conference of the IEEE: Engineering in Medicine and Biology Society. Piscataway: IEEE Press,2010: 1 650-1 653.
|
[6] |
胡彦红,张雷,林建中,等. 基于全息谱的转子系统故障诊断分析[J]. 振动与冲击, 2009, 28(12): 164-166.HU Yanhong, ZHANG Lei, LIN Jianzhong, et al. Diagnosis analysis of rotor system based on holo-spectrum[J]. Journal of Vibration and Shock, 2009, 28(12): 164-166.
|
[7] |
屈梁生,史东锋. 全息谱十年:回顾与展望[J]. 振动、测试与诊断, 1998, 18(4): 235-242.QU Liangsheng, SHI Dongfeng. Holo-spectrum during the past decade: Review & prospect[J]. Journal of Vibration, Measurement & Diagnosis, 1998, 18(4): 235-242.
|