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Multiscale Permutation Entropy Based Rolling Bearing Fault Diagnosis [PDF]
Shock and Vibration, 2014 A new rolling bearing fault diagnosis approach based on multiscale permutation entropy (MPE), Laplacian score (LS), and support vector machines (SVMs) is proposed in this paper.
Jinde Zheng, Junsheng Cheng, Yu Yang
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Rolling Bearing Diagnosis Based on Composite Multiscale Weighted Permutation Entropy [PDF]
Entropy, 2018 In this paper, composite multiscale weighted permutation entropy (CMWPE) is proposed to evaluate the complexity of nonlinear time series, and the advantage of the CMWPE method is verified through analyzing the simulated signal. Meanwhile, considering the
Xiong Gan +3 more
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Improvement of Statistical Performance of Ordinal Multiscale Entropy Techniques Using Refined Composite Downsampling Permutation Entropy [PDF]
Entropy, 2020 Multiscale Permutation Entropy (MPE) analysis is a powerful ordinal tool in the measurement of information content of time series. MPE refinements, such as Composite MPE (cMPE) and Refined Composite MPE (rcMPE), greatly increase the precision of the ...
Antonio Dávalos +3 more
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Fine-to-Coarse Multiscale Permutation Entropy for Rolling Bearing Fault Diagnosis [PDF]
2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC), 2018 Multiscale Permutation Entropy (MPE) has been applied as a non-linear measure for estimating the complexity of time series. Nevertheless, the coarse-grained procedure in MPE only takes low-frequency information into account. To overcome this shortcoming, in this paper, a new entropy measure, named Fine-to-Coarse Multiscale Permutation Entropy (F2CMPE),
Zhiqiang Huo +2 more
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Adaptive Multiscale Weighted Permutation Entropy for Rolling Bearing Fault Diagnosis [PDF]
IEEE Access, 2020 Fault diagnosis of rolling bearing is of great importance to ensure high reliability and safety in the industrial machinery system. Entropy measures are useful non-linear indicators for time series complexity analysis and have been widely applied in bearing fault diagnosis in the past decade.
Zhiqiang Huo +3 more
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Shock and Vibration, 2022 The rolling bearing fault test signal has nonstationary and nonlinear characteristics. The feature extraction method based on variational mode decomposition (VMD) and permutation entropy can effectively measure the regularity of the signal and detect ...
Haorui Liu +4 more
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Shock and Vibration, 2021 Research on damage diagnosis or safety monitoring based on structural vibration response is one of the hot issues in the engineering field. The characteristic information of the structure is obtained by analyzing the structure response data.
Jianwei Zhang +4 more
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Multivariate improved weighted multiscale permutation entropy and its application on EEG data [PDF]
Biomedical Signal Processing and Control, 2019 Abstract This paper introduces an entropy based method that measures complexity in non-stationary multivariate signals. This method, called Mutivariate Improved Weighted Multiscale Permutation Entropy (mvIWMPE), has two main advantages: (i) it shows lower variance for the results when applied on a wide range of multivariate signals; (ii) it has good ...
Mohamad El Sayed Hussein Jomaa +7 more
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Information, 2022 Recognition of biological tissue denaturation is a vital work in high-intensity focused ultrasound (HIFU) therapy. Multiscale permutation entropy (MPE) is a nonlinear signal processing method for feature extraction, widely applied to the recognition of ...
Ziqi Peng, Xian Zhang, Jing Cao, Bei Liu
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Algorithms, 2019 A rolling bearing is an important connecting part between rotating machines. It is susceptible to mechanical stress and wear, which affect the running state of bearings.
Yinsheng Chen +4 more
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