Results 11 to 20 of about 3,443,010 (236)

Coded Permutation Entropy: A Measure for Dynamical Changes Based on the Secondary Partitioning of Amplitude Information

Entropy, 2020
An improved permutation entropy (PE) algorithm named coded permutation entropy (CPE) is proposed in this paper to optimize the problems existing in PE based on the secondary partitioning. The principle of CPE algorithm is given, and the performance of it
Huan Kang, Xiaofeng Zhang, Guangbin Zhang   +2 more
doaj   +2 more sources

The Method for Determining Optimal Analysis Length of Vibration Data Based on Improved Multiscale Permutation Entropy

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, Ziyu Li, Peng Yan, Yang Li, Jinlin Huang   +4 more
doaj   +2 more sources

Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis

Entropy, 2017
Based on the combination of improved Local Mean Decomposition (LMD), Multi-scale Permutation Entropy (MPE) and Hidden Markov Model (HMM), the fault types of bearings are diagnosed.
Yangde Gao, Francesco Villecco, Ming Li, Wanqing Song   +3 more
doaj   +3 more sources

Gearbox Fault Diagnosis Method Based on Improved Multi-scale Mean Permutation Entropy and Parameter Optimization SVM

Jixie chuandong
When a gearbox transmission system fails, the multi-scale mean permutation entropy （MMPE） of different vibration signals corresponds to the fault state to a certain extent.
Guo Panpan, Zhang Wenbin, Cui Ben, Xu Han   +3 more
doaj   +2 more sources

Improved Permutation Entropy for Measuring Complexity of Time Series under Noisy Condition

Complexity, 2019
Measuring complexity of observed time series plays an important role for understanding the characteristics of the system under study. Permutation entropy (PE) is a powerful tool for complexity analysis, but it has some limitations.
Zhe Chen, Yaan Li, Hongtao Liang, Jing Yu   +3 more
doaj   +2 more sources

Rope Tension Fault Diagnosis in Hoisting Systems Based on Vibration Signals Using EEMD, Improved Permutation Entropy, and PSO-SVM. [PDF]

Entropy (Basel), 2020
Xue S, Tan J, Shi L, Deng J.
europepmc   +2 more sources

Use of Composite Multivariate Multiscale Permutation Fuzzy Entropy to Diagnose the Faults of Rolling Bearing

Entropy, 2023
The study focuses on the fault signals of rolling bearings, which are characterized by nonlinearity, periodic impact, and low signal-to-noise ratio.
Qiang Yuan, Mingchen Lv, Ruiping Zhou, Hong Liu, Chongkun Liang, Lijiao Cheng   +5 more
doaj   +1 more source

Prediction of Intrinsically Disordered Proteins Using Machine Learning Based on Low Complexity Methods

Algorithms, 2022
Prediction of intrinsic disordered proteins is a hot area in the field of bio-information. Due to the high cost of evaluating the disordered regions of protein sequences using experimental methods, we used a low-complexity prediction scheme.
Xingming Zeng, Haiyuan Liu, Hao He
doaj   +1 more source

Composite Multiscale Transition Permutation Entropy-Based Fault Diagnosis of Bearings

Sensors, 2022
When considering the transition probability matrix of ordinal patterns, transition permutation entropy (TPE) can effectively extract fault features by quantifying the irregularity and complexity of signals.
Jing Guo, Biao Ma, Tiangang Zou, Lin Gui, Yongbo Li   +4 more
doaj   +1 more source

An Intelligent Fault Diagnosis Method of Variable Condition Gearbox Based on Improved DBN Combined With WPEE and MPE

IEEE Access, 2020
Gear transmission is one of the most commonly used transmission methods in mechanical equipment. By analyzing the vibration data of gearbox, an improved deep belief network (DBN) algorithm for gear fault diagnosis based on wavelet packet energy entropy ...
Dongying Han, Xiaoci Guo, Peiming Shi
doaj   +1 more source