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. 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 …

Intelligent fault diagnosis method for common rail injectors based …

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. 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, … the oz great and powerful

Hierarchical diversity entropy for the early fault diagnosis of rolling ...

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

A fault diagnosis scheme for planetary gearboxes using adaptive …

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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 … Web15 de mai. de 2024 · This paper proposes a novel fault diagnosis method based on adaptive multi-scale morphological filter (AMMF) and modified hierarchical permutation entropy … the oz groupWebHá 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 ... the oz great and powerful cast

"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 … " - Hierarchical permutation entropy

Hierarchical permutation entropy

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

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Web1 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 ... 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.. …

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 ... 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 …

Web17 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 … 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 …

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 …

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; ... the ozeri kitchen and event timer in whiteWeb1 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 … theo zhengWeb21 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. … shutdown oddsWeb1 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 ... shutdown oder lockdownWeb5 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 with multiscale permutation entropy, ... the oz farm saugerties nyWeb2 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 … the o z gundamWeb18 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. the oz family\\u0027s creamy red lentil soup