The Holo-Hilbert spectral analysis (HHSA) for rotation machine fault diagnosis
The original method was proposed by Norden E. Huang in 2016:
Huang N E, Hu K, Yang A C C, et al. On Holo-Hilbert spectral analysis: a full informational spectral representation for nonlinear and non-stationary data[J]. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2016, 374(2065): 20150206.
The original Python code for HHSA can be acquired from: https://emd.readthedocs.io/en/latest/emd_tutorials/02_spectrum_analysis/emd_tutorial_02_spectrum_02_holospectrum.html#sphx-glr-emd-tutorials-02-spectrum-analysis-emd-tutorial-02-spectrum-02-holospectrum-py
The original Matlab code for HHSA can be acquired from: https://osf.io/mg6zd/
The description of the paper: Liang W K, Tseng P, Yeh J R, et al. Frontoparietal beta amplitude modulation and its interareal cross-frequency coupling in visual working memory[J]. Neuroscience, 2021, 460: 69-87.
The related work for rotation machine fault diagnosis based on HHSA can be found in the following papers:
[1] Zheng J, Ying W, Pan H, et al. Holo-hilbert square spectral analysis: A new fault diagnosis tool for rotating machinery health management[J]. Mechanical Systems and Signal Processing, 2023, 189: 110069.
[2] Ying W, Zheng J, Huang W, et al. Order-frequency Holo-Hilbert spectral analysis for machinery fault diagnosis under time-varying operating conditions[J]. ISA transactions, 2024, 146: 472-483.
[3] Ying W, Zheng J, Pan H, et al. Use of Holo-Hilbert spectral analysis to reveal the amplitude modulation features of faulty rolling bearing signals[J]. Journal of Vibration and Control, 2023, 29(21-22): 5067-5077.
[4] Zheng J, Ying W, Pan H, et al. Improved Holo-Hilbert Spectrum Analysis-Based Fault Diagnosis Method for Rotating Machines[J]. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2023./[1]郑近德,应万明,潘海洋,等.基于改进全息希尔伯特谱分析的旋转机械故障诊断方法[J].机械工程学报,2023,59(01):162-174.
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HHSSA method:
OFHHSA method:
IHHSA method:
