Hierarchical permutation entropy

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August undefined, 2024

Web22 de abr. de 2024 · Wang X, Si S, Li Y,et al. (2024a) An integrated method based on refined composite multivariate hierarchical permutation entropy and random forest and its application in rotating machinery. Journal of Vibration and Control, 26(3–4): 146–160. WebHierarchical Amplitude‐Aware Permutation Entropy‐Based Fault Feature Extraction Method for Rolling Bearings Zhe Li 1 , Yahui Cui 1 , Longlong Li 1, *, Runlin Chen 1 , …

Intelligent fault diagnosis method for common rail injectors based …

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 … WebFirstly, from Figure 11, we know that hierarchical dispersion entropy in normal state decreases with the increase of nodes in general.This indicates that the feature information mainly exists in the low frequency of vibration signals. Secondly, hierarchical dispersion entropy of vibration signals in node = 1 (low frequency part) and node = 8 (high … first watch in chandler az

Improved Permutation Entropy for Measuring Complexity of …

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 weighted permutation entropy to different parameters, we calculated 30 sets of white noise and 1/f noise HWPE with different parameters as a single variable. The simulated signal … 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 … Web15 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 … camping bos en hei otterlo

Health condition identification for rolling bearing based on ...

A comprehensive working condition identification scheme for …

WebPermutation entropy (PE) is a powerful tool for complexity anal ... 30 Chen Z., Li Y., Liang H., and Yu J., “ Hierarchical cosine similarity entropy for feature extraction of ship-radiated noise,” Entropy, vol. 20, no. 6, 2024. 425 2-s2.0-85048712344 Google Scholar; ... 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 … camping bosrand sint geertruidWeb22 de fev. de 2024 · Hierarchical Amplitude-A ware Permutation Entropy-Based Fault Feature Extraction Method for Rolling Bearings Zhe Li 1 , Yahui Cui 1 , Longlong Li 1, *, … first watch in chesterfield mo

"Web22 de fev. de 2024 · In order to detect the incipient fault of rolling bearings and to effectively identify fault characteristics, based on amplitude-aware permutation entropy (AAPE), an enhanced method named hierarchical amplitude-aware permutation entropy (HAAPE) is proposed in this paper to solve complex time series in a new dynamic change analysis.. … " - Hierarchical permutation entropy

Hierarchical permutation entropy

Evaluation of Locomotion Complexity in Zebrafish after Exposure …

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 … Web22 de jun. de 2024 · Subsequently, by integrating Teager energy operator into hierarchical permutation entropy (HPE), an improved feature selection method named hierarchical …

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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. … Web20 de out. de 2024 · Li Y, Li G, Yang Y, et al. (2024b) A fault diagnosis scheme for planetary gearboxes using adaptive multi-scale morphology filter and modified hierarchical …

Web5 de nov. de 2024 · Compared with multiscale permutation entropy, hierarchical permutation entropy considers the fault information hidden in both high frequency and low frequency components. However, hierarchical permutation entropy still has some shortcomings, such as poor statistical stability for short time series and inability of … Web22 de abr. de 2024 · Then, a novel intelligent fault diagnosis method for common rail injectors based on hierarchical weighted permutation entropy and pair-wise feature proximity is proposed. Finally, the proposed method is applied to the common rail injector fault data, and the results verify the effectiveness of the proposed method.

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 series and ignore the high-frequency features which are equally important, a novel nonlinear time series feature extraction method, hierarchical amplitude-aware permutation entropy … 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 …

Web8 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.

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 ... first watch in brentwood tnWeb15 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 … first watch in chantilly vaWeb5 de nov. de 2024 · Compared with multiscale permutation entropy, hierarchical permutation entropy considers the fault information hidden in both high frequency and … camping boslust puttenWeb1 de ago. de 2024 · Lempel-Ziv complexity. Lempel-Ziv complexity (LZC) is an important detection metric in nonlinear dynamics that reflects the rate at which a new pattern emerges in a time series, and is often used to determine the complexity of a time series. Fig. 1 presents the flow chart of LZC, specifically, for a particular time series X = { x1, x2, ⋯, xN ... camping bostalsee platzplanWebHá 2 dias · Analyzing non-volcanic persistent noise using seismic interferometry 27,28 or permutation entropy 29,30 could extract subtle underground ... J. H. Jr. Hierarchical grouping to optimize an ... camping bot conanWeb22 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 … first watch in cincinnati ohioWeb4 de nov. de 2024 · Against this background, this paper introduces EntropyHub, an open-source toolkit for entropic time series analysis in the MATLAB, Python [] and Julia [] programming environments.Incorporating entropy estimators from information theory, probability theory and dynamical systems theory, EntropyHub features a wide range of … camping bottai port de bouc