Hierarchical permutation entropy

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August undefined, 2024

Web18 de ago. de 2024 · Then, the BT-SVM is utilized to automatically complete the fault type identification. The effectiveness of the proposed method is validated using simulated and … Web2 de dez. de 2024 · With a view to solving the defect that multiscale amplitude-aware permutation entropy (MAAPE) can only quantify the low-frequency features of time …

A fault diagnosis scheme for planetary gearboxes using …

Web5 de nov. de 2024 · Compared with multiscale permutation entropy, hierarchical permutation entropy considers the fault information hidden in both high frequency and … Web1 de mai. de 2024 · Multiscale entropy (MSE) and multiscale permutation entropy (MPE) are two effective nonlinear dynamic complexity measurement methods of time series that have been applied to many areas for complexity feature extraction in recent years. To overcome the inherent defects of sample entropy and permutation entropy, together … permanently pin to taskbar

Hierarchical multiscale permutation entropy-based feature extraction ...

Web10 de abr. de 2024 · Amigó, M. B. Kennel, and L. Kocarev, “ The permutation entropy rate equals the metric entropy rate for ergodic information sources and ergodic dynamical systems,” Physica D 210, 77 ... Kaneko, “ Clustering, coding, … Web15 de mai. de 2024 · When the number of hierarchical layers is too large, the entropy values will be unstable. For this reason, on the basis of HE, Li et al. [26] presented a modified hierarchical entropy (MHE ... Web1 de mai. de 2024 · Zhu KH, Li HL (2016) A rolling element bearing fault diagnosis approach based on hierarchical fuzzy entropy and support vector machine. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 230(13): 2314–2322. permanently programmed software

Health condition identification for rolling bearing based on ...

Web18 de out. de 2024 · The main types of signal entropy measurement include sample entropy, permutation entropy (PE), fuzzy entropy (FE), dispersion entropy (DE) and so on. ... [13] Ying J, Peng C K and Xu Y 2011 Hierarchical entropy analysis for biological signals J. Comput. Appl. Math. 236 728–42. Web18 de out. de 2024 · Many measures to quantify the nonlinear dynamics of a time series are based on estimating the probability of certain features from their relative frequencies. … permanently preserving live flowersWeb2 de dez. de 2024 · With a view to solving the defect that multiscale amplitude-aware permutation entropy (MAAPE) can only quantify the low-frequency features of time series and ignore the high-frequency features which are equally important, a novel nonlinear time series feature extraction method, hierarchical amplitude-aware permutation entropy … permanently pretty

"Web5 de nov. de 2024 · Hierarchical permutation entropy has been proven to be a promising nonlinear feature extraction method for fault diagnosis of rotating machinery. Compared … " - Hierarchical permutation entropy

Hierarchical permutation entropy

Intelligent fault diagnosis method for common rail injectors based …

Web22 de dez. de 2024 · With a view to realizing the fault diagnosis of rotating machinery effectively, an integrated health condition detection approach for rotating machinery based on refined composite multivariate multiscale amplitude-aware permutation entropy (RCmvMAAPE), max-relevance and min-redundancy (mRmR), and whale optimization … WebA new fault feature extraction method for rotating machinery named HmvAAPE, which has integrated the advantages of Amplitude-aware Permutation Entropy, multi-channel analysis method and hierarchical decomposition method, which can get both higher accuracy and higher stability at the same time. Expand

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Web21 de abr. de 2024 · [18] Chen Y, Zhang T, Zhao W, Luo Z and Sun K 2024 Fault diagnosis of rolling bearing using multiscale amplitude-aware permutation entropy and random forest Algorithms 12 184. Crossref; Google Scholar [19] Jiang Y, Peng C-K and Xu Y 2011 Hierarchical entropy analysis for biological signals J. Comput. Appl. Math. 236 728–42. … WebTo achieve this goal, I propose a multi-scale perturbational approach to establish causal relationships between specific neural events and brain-wide functional connectivity via a novel combination of rsfMRI and advanced neural manipulations and recordings in the awake mouse. _x000D_By directionally silencing functional hubs as well as more …

Web9 de abr. de 2024 · The classification and recognition of ship-radiated noise (SRN) is of great significance to the processing of underwater acoustic signals. In order to improve … WebAbout. Information and uncertainty can be regarded as two sides of the same coin: the more uncertainty there is, the more information we gain by removing that uncertainty. In the …

WebWe conducted three-dimensional (3D) locomotion tracking for adult zebrafish after acute exposure to twenty different antibiotics at a concentration of 100 ppb for 10 days. Their locomotor complexity was analyzed and compared by fractal dimension and permutation entropy analysis. Web15 de fev. de 2024 · The emergence of permutation entropy (PE) brings a new sight for dynamic complexity analysis, which utilizes the amplitude permutation of orbits to estimate the dynamical complexity . Above all, these commonly used entropy-based methods and their applications in fault diagnosis of rotating machinery have been summarized in Ref. [ …

Web1 Hierarchical diversity entropy for the early fault diagnosis of rolling bearing Xianzhi Wanga, Shubin Sia, Yongbo Lib,* a School of Mechanical Engineering, Northwestern Polytechnical University ...

Web22 de abr. de 2024 · The performance of hierarchical weighted permutation entropy is determined by the four defined parameters. To evaluate the sensitivity of hierarchical … permanently progressing scotlandWeb15 de fev. de 2024 · The emergence of permutation entropy (PE) brings a new sight for dynamic complexity analysis, which utilizes the amplitude permutation of orbits to … permanently progressing studyWeb1 Hierarchical diversity entropy for the early fault diagnosis of rolling bearing Xianzhi Wanga, Shubin Sia, Yongbo Lib,* a School of Mechanical Engineering, Northwestern … permanently progressing researchWeb15 de mai. de 2024 · The fault diagnosis of planetary gearboxes is crucial to reduce the maintenance costs and economic losses. This paper proposes a novel fault diagnosis method based on adaptive multi-scale morphological filter (AMMF) and modified hierarchical permutation entropy (MHPE) to identify the different health conditions of … permanently purchase domain nameWeb8 de dez. de 2024 · Entropy 2024, 23, 599. [Google Scholar] Chou, M.-C. Evaluation of Non-Uniform Image Quality Caused by Anode Heel Effect in Digital Radiography Using Mutual Information. Entropy 2024, 23, 525. [Google Scholar] Li, T.; Zhang, D. Hyperchaotic Image Encryption Based on Multiple Bit Permutation and Diffusion. Entropy 2024, 23, 510. permanently pretty jewelryWeb17 de mai. de 2024 · Request PDF On May 17, 2024, Ke Yun and others published Fault Diagnosis Method of Diesel Engine Injector Based on Hierarchical Weighted … permanently redact adobe pdfWeb22 de jun. de 2024 · Subsequently, by integrating Teager energy operator into hierarchical permutation entropy (HPE), an improved feature selection method named hierarchical … permanently redact pdf