Application of fast singular spectrum decomposition method based on order statistic filter in rolling bearing fault diagnosis

Measurement Science and Technology ◽

10.1088/1361-6501/ab39eb ◽

2019 ◽

Vol 30 (12) ◽

pp. 125001 ◽

Author(s):

Yonggang Xu ◽

Jinxin Cao ◽

Jiyuan Zhao ◽

Kun Zhang ◽

Weikang Tian

Keyword(s):

Fault Diagnosis ◽

Order Statistic ◽

Decomposition Method ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Singular Spectrum ◽

Spectrum Decomposition

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Morphological Demodulation Method Based on Improved Singular Spectrum Decomposition and Its Application in Rolling Bearing Fault Diagnosis

Journal of Mechanical Engineering ◽

10.3901/jme.2017.07.104 ◽

2017 ◽

Vol 53 (7) ◽

pp. 104 ◽

Author(s):

Xiaoan YAN

Keyword(s):

Fault Diagnosis ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Singular Spectrum ◽

Spectrum Decomposition ◽

Demodulation Method

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Enhanced Singular Spectrum Decomposition and Its Application to Rolling Bearing Fault Diagnosis

IEEE Access ◽

10.1109/access.2019.2924962 ◽

2019 ◽

Vol 7 ◽

pp. 87769-87782 ◽

Author(s):

Bin Pang ◽

Guiji Tang ◽

Tian Tian

Keyword(s):

Fault Diagnosis ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Singular Spectrum ◽

Spectrum Decomposition

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Tensor Singular Spectrum Decomposition Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis

Entropy ◽

10.3390/e19040139 ◽

2017 ◽

Vol 19 (4) ◽

pp. 139 ◽

Author(s):

Cancan Yi ◽

Yong Lv ◽

Mao Ge ◽

Han Xiao ◽

Xun Yu

Keyword(s):

Fault Diagnosis ◽

Rolling Bearing ◽

Decomposition Algorithm ◽

Permutation Entropy ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Singular Spectrum ◽

Spectrum Decomposition

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An improved extreme-point symmetric mode decomposition method and its application to rolling bearing fault diagnosis

Journal of Vibroengineering ◽

10.21595/jve.2018.19234 ◽

2018 ◽

Vol 20 (8) ◽

pp. 2810-2824 ◽

Author(s):

Ping Xia ◽

Hua Xu ◽

Mohan Lei ◽

Zaichao Ma

Keyword(s):

Fault Diagnosis ◽

Extreme Point ◽

Decomposition Method ◽

Rolling Bearing ◽

Symmetric Mode ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

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An improved complementary ensemble empirical mode decomposition method and its application in rolling bearing fault diagnosis

Digital Signal Processing ◽

10.1016/j.dsp.2021.103050 ◽

2021 ◽

pp. 103050

Author(s):

Jun Gu ◽

Yuxing Peng

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Decomposition Method ◽

Rolling Bearing ◽

Ensemble Empirical Mode Decomposition ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition ◽

Empirical Mode Decomposition Method

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Research on Bearing Fault Diagnosis Method Based on Singular Spectrum Decomposition

International Journal of Comprehensive Engineering ◽

10.14270/ijce2018.a00201.12 ◽

2018 ◽

Keyword(s):

Fault Diagnosis ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Singular Spectrum ◽

Diagnosis Method ◽

Spectrum Decomposition

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An Improved Symplectic Geometry Mode Decomposition Method for Rolling Bearing Fault Diagnosis under Variable Speed Conditions

10.1109/icsmd53520.2021.9670778 ◽

2021 ◽

Author(s):

Guangyao Zhang ◽

Yi Wang ◽

Yi Qin ◽

Baoping Tang

Keyword(s):

Fault Diagnosis ◽

Decomposition Method ◽

Symplectic Geometry ◽

Rolling Bearing ◽

Variable Speed ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

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Singular Spectrum Decomposition and Iteration Sparsity-Oriented Morphological Demodulation for Bearing Fault Diagnosis

10.1109/icsmd53520.2021.9670847 ◽

2021 ◽

Author(s):

Rongkai Duan ◽

Lei Yang ◽

Tao Kang ◽

Yuhe Liao

Keyword(s):

Fault Diagnosis ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Singular Spectrum ◽

Spectrum Decomposition

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Rolling Bearing Fault Diagnosis via ConceFT-Based Time-Frequency Reconfiguration Order Spectrum Analysis

IEEE Access ◽

10.1109/access.2018.2877711 ◽

2018 ◽

Vol 6 ◽

pp. 67131-67143 ◽

Author(s):

Dongdong Liu ◽

Weidong Cheng ◽

Weigang Wen

Keyword(s):

Fault Diagnosis ◽

Spectrum Analysis ◽

Rolling Bearing ◽

Time Frequency ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

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Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals

ISA Transactions ◽

10.1016/j.isatra.2020.12.054 ◽

2021 ◽

Author(s):

Zhenya Wang ◽

Ligang Yao ◽

Gang Chen ◽

Jiaxin Ding

Keyword(s):

Support Vector Machine ◽

Fault Diagnosis ◽

Rolling Bearing ◽

Permutation Entropy ◽

Support Vector ◽

Complex Signals ◽

Machine Method ◽

Support Vector Machine Method ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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