Results 11 to 20 of about 456,367 (154)
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
core +6 more sources
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
doaj +6 more sources
IEEE Access, 2019 Fault diagnosis of rotating machinery is vital to identify incipient failures and avoid unexpected downtime in industrial systems. This paper proposes a new rolling bearing fault diagnosis method by integrating the fine-to-coarse multiscale permutation ...
Zhiqiang Huo +3 more
doaj +9 more sources
On the Statistical Properties of Multiscale Permutation Entropy: Characterization of the Estimator’s Variance [PDF]
Entropy, 2019 Permutation Entropy (PE) and Multiscale Permutation Entropy (MPE) have been extensively used in the analysis of time series searching for regularities. Although PE has been explored and characterized, there is still a lack of theoretical background regarding MPE. Therefore, we expand the available MPE theory by developing an explicit expression for the
Davalos, Antonio +3 more
openaire +4 more sources
Classification of Hepatitis Viruses from Sequencing Chromatograms Using Multiscale Permutation Entropy and Support Vector Machines [PDF]
Entropy (Basel), 2019 Classifying nucleic acid trace files is an important issue in molecular biology researches. For the purpose of obtaining better classification performance, the question of which features are used and what classifier is implemented to best represent the ...
Aşkın, Öyküm Esra +3 more
europepmc +2 more sources
On the Genuine Relevance of the Data-Driven Signal Decomposition-Based Multiscale Permutation Entropy [PDF]
Entropy, 2022 Ordinal pattern-based approaches have great potential to capture intrinsic structures of dynamical systems, and therefore, they continue to be developed in various research fields. Among these, the permutation entropy (PE), defined as the Shannon entropy of ordinal probabilities, is an attractive time series complexity measure.
Meryem Jabloun +2 more
openaire +6 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Improved Multiscale Permutation Entropy for Biomedical Signal Analysis: Interpretation and Application to Electroencephalogram Recordings [PDF]
Biomedical Signal Processing and Control, 2016 Abstract Permutation entropy (PE) is a well-known and fast method extensively used in many physiological signal processing applications to measure the irregularity of time series. Multiscale PE (MPE) is based on assessing the PE for a number of coarse-grained sequences representing temporal scales.
Hamed Azami, Javier Escudero
exaly +4 more sources