Data-Enhanced Prediction with Decomposition and Amplitude-Aware Permutation Entropy in Distributed Computing Systems

Authors: Yuan, Haitao, Hu, Qinglong, Bi, Jing, Zhang, Wei, Zhang, Jia, Zhou, MengChu

Source: 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Systems, Man, and Cybernetics (SMC), 2024 IEEE International Conference on. :617-622 Oct, 2024

Relation: 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Auditory-Based Multi-Scale Amplitude-Aware Permutation Entropy as a Measure for Feature Extraction of Ship Radiated Noise

Authors: Wang, Ping, Chen, Mingsong, Wang, Junyi, Deng, Xiaofang, Chen, Zhe

Source: 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ), 2022 IEEE 6th. :1550-1555 Oct, 2022

Relation: 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )

A New Singular Spectrum Decomposition Method Based on Cao Algorithm and Amplitude Aware Permutation Entropy

Authors: Yang, H., Zhang, A., Li, G.

Source: IEEE Access Access, IEEE. 9:44534-44557 2021

A Fault Feature Extraction Method for Rolling Bearings Based on Refined Composite Multi-Scale Amplitude-Aware Permutation Entropy

Authors: Song, Y., Wang, W.

Source: IEEE Access Access, IEEE. 9:71979-71993 2021

Medium–Long-Term PV Output Forecasting Based on the Graph Attention Network with Amplitude-Aware Permutation Entropy

Authors: Shuyi Shen, Yingjing He, Gaoxuan Chen, Xu Ding, Lingwei Zheng

Source: Energies, Vol 17, Iss 16, p 4187 (2024)

Subject Terms: ensemble empirical mode decomposition, amplitude-aware permutation entropy, graph attention network, PV output forecasting, Technology

File Description: electronic resource

Relation: https://www.mdpi.com/1996-1073/17/16/4187; https://doaj.org/toc/1996-1073

Access URL: https://doaj.org/article/d9ea2ee99dd1453e951935d2095ca9a0

Algorithms for Fault Detection and Diagnosis

Contributors: Ferracuti, Francesco, Freddi, Alessandro, Monteriù, Andrea

Subject Terms: structural health monitoring, digital image processing, damage, gray level co-occurrence matrix, self-organization map, rolling bearings, fault diagnosis, multiscale entropy, amplitude-aware permutation entropy, random forest, reusable launch vehicle, thruster valve failure, thruster fault detection, Kalman filter, machine vision, machine diagnostics, instantaneous angular speed, SURVISHNO 2019 challenge, video tachometer, motion tracking, edge detection, parametric template modeling, adaptive template matching, genetic algorithm, misalignment, fault prediction, combined prediction, multivariate grey model, quantum genetic algorithm, least squares support vector machine, lithium-ion battery, battery faults, battery safety, battery management system, fault diagnostic algorithms, History of engineering and technology

File Description: application/octet-stream

Access URL: https://directory.doabooks.org/handle/20.500.12854/68494
https://mdpi.com/books/pdfview/book/3514

Data-Driven Structural Health Monitoring: Leveraging Amplitude-Aware Permutation Entropy of Time Series Model Residuals for Nonlinear Damage Diagnosis

Authors: Xuan Zhang, Luyu Li, Gaoqiang Qu

Source: Sensors, Vol 24, Iss 2, p 505 (2024)

Subject Terms: structural health monitoring, nonlinear damage, data-driven, time series models, amplitude-aware permutation entropy, distributed sensor systems, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/2/505; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/9a655b1c652e4e4dbf7acb1ef4302f90

Permutation entropy: Influence of amplitude information on time series classification performance

Authors: David Cuesta–Frau

Source: Mathematical Biosciences and Engineering, Vol 16, Iss 6, Pp 6842-6857 (2019)

Subject Terms: permutation entropy, amplitude aware permutation entropy, fine–grained permutation entropy, weighted permutation entropy, sample entropy, time series classification, Biotechnology, TP248.13-248.65, Mathematics, QA1-939

File Description: electronic resource

Relation: https://www.aimspress.com/article/10.3934/mbe.2019342?viewType=HTML; https://doaj.org/toc/1551-0018

Access URL: https://doaj.org/article/069a7c963cae477993e2d2aac666a19d

TdP Incidence in Methoxamine-Sensitized Rabbit Model Is Reduced With Age but Not Influenced by Hypercholesterolemia

Authors: Lukáš Nalos, Dagmar Jarkovská, Jitka Švíglerová, Annabell Süß, Jakub Záleský, Daniel Rajdl, Milada Krejčová, Jitka Kuncová, Josef Rosenberg, Milan Štengl

Source: Frontiers in Physiology, Vol 12 (2021)

Subject Terms: hypercholesterolemia, TdP arrhythmia, arrhythmia risk prediction, rabbit, amplitude-aware permutation entropy, Physiology, QP1-981

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphys.2021.692921/full; https://doaj.org/toc/1664-042X

Access URL: https://doaj.org/article/c5fdcb25e1d8489589f80e71764e6a83

Hierarchical Amplitude-Aware Permutation Entropy-Based Fault Feature Extraction Method for Rolling Bearings

Authors: Zhe Li, Yahui Cui, Longlong Li, Runlin Chen, Liang Dong, Juan Du

Source: Entropy, Vol 24, Iss 3, p 310 (2022)

Subject Terms: hierarchical amplitude-aware permutation entropy, rolling bearing, performance trend state assessment, fault feature extraction, Science, Astrophysics, QB460-466, Physics, QC1-999

File Description: electronic resource

Relation: https://www.mdpi.com/1099-4300/24/3/310; https://doaj.org/toc/1099-4300

Access URL: https://doaj.org/article/6841e4cefde74212977105ee850649bb

Decreased Resting-State Functional Complexity in Elderly with Subjective Cognitive Decline

Authors: Huangjing Ni, Zijie Song, Lei Liang, Qiaowen Xing, Jiaolong Qin, Xiaochuan Wu

Source: Entropy, Vol 23, Iss 12, p 1591 (2021)

Subject Terms: complexity, amplitude-aware permutation entropy, brain dynamics, short time series analysis, subjective cognitive decline, Science, Astrophysics, QB460-466, Physics, QC1-999

File Description: electronic resource

Relation: https://www.mdpi.com/1099-4300/23/12/1591; https://doaj.org/toc/1099-4300

Access URL: https://doaj.org/article/b35afc3115e34f12b9977275a42fb2fd

Rotating Machinery Fault Diagnosis Based on Improved Multiscale Amplitude-Aware Permutation Entropy and Multiclass Relevance Vector Machine

Authors: Yinsheng Chen, Tinghao Zhang, Wenjie Zhao, Zhongming Luo, Haijun Lin

Source: Sensors, Vol 19, Iss 20, p 4542 (2019)

Subject Terms: rotating machinery, fault diagnosis, fault severity, intrinsic time-scale decomposition, amplitude-aware permutation entropy, multiclass relevance vector machine, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/19/20/4542; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/71d22db41fce40969966a40382d264ff

Fault Diagnosis of Rolling Bearing Using Multiscale Amplitude-Aware Permutation Entropy and Random Forest

Authors: Yinsheng Chen, Tinghao Zhang, Wenjie Zhao, Zhongming Luo, Kun Sun

Source: Algorithms, Vol 12, Iss 9, p 184 (2019)

Subject Terms: rolling bearings, fault diagnosis, multiscale entropy, amplitude-aware permutation entropy, random forest, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://www.mdpi.com/1999-4893/12/9/184; https://doaj.org/toc/1999-4893

Access URL: https://doaj.org/article/3114eb6cbbc1410f9f879015c856ecb7

Noise Reduction Method of Underwater Acoustic Signals Based on Uniform Phase Empirical Mode Decomposition, Amplitude-Aware Permutation Entropy, and Pearson Correlation Coefficient

Authors: Guohui Li, Zhichao Yang, Hong Yang

Source: Entropy, Vol 20, Iss 12, p 918 (2018)

Subject Terms: underwater acoustic signals, uniform phase empirical mode decomposition, amplitude-aware permutation entropy, Pearson correlation coefficient, noise reduction, Science, Astrophysics, QB460-466, Physics, QC1-999

File Description: electronic resource

Relation: https://www.mdpi.com/1099-4300/20/12/918; https://doaj.org/toc/1099-4300

Access URL: https://doaj.org/article/c245ec47c0974cb4a4636a251ba90e6c

Data-Filtered Prediction With Decomposition and Amplitude-Aware Permutation Entropy for Workload and Resource Utilization in Cloud Data Centers

Authors: Yuan, H., Hu, Q., Wang, M., Wang, S., Bi, J., Buyya, R., Shi, S., Yang, J., Zhang, J., Zhou, M.

Source: IEEE Internet of Things Journal IEEE Internet Things J. Internet of Things Journal, IEEE. PP(99):1-1

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