Results 41 to 50 of about 1,519 (247)

Gear compound fault detection method based on improved multiscale permutation entropy and local mean decomposition [PDF]

, 2021
The traditional multiscale entropy algorithm shows inconsistency because some points are ignored when the signal is coarsened. To solve this problem, this paper proposes an improved multiscale permutation entropy (IMSPE).
Qinge Dai, Yongqi Chen, Yang Chen
core   +1 more source

Intelligent Fault Diagnosis of Rolling Bearings Based on a Complete Frequency Range Feature Extraction and Combined Feature Selection Methodology

Sensors, 2023
The utilization of multiscale entropy methods to characterize vibration signals has proven to be promising in intelligent diagnosis of mechanical equipment.
Zhengkun Xue, Yukun Huang, Wanyang Zhang, Jinchuan Shi, Huageng Luo   +4 more
doaj   +1 more source

Remaining Useful Life Prediction Model for Rolling Bearings Based on MFPE–MACNN

Entropy, 2022
Aiming to resolve the problem of redundant information concerning rolling bearing degradation characteristics and to tackle the difficulty faced by convolutional deep learning models in learning feature information in complex time series, a prediction ...
Yaping Wang, Jinbao Wang, Sheng Zhang, Di Xu, Jianghua Ge   +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

Measuring center of pressure signals to quantify human balance using multivariate multiscale entropy by designing a force platform [PDF]

, 2013
Copyright © 2013 by the authors. To assess the improvement of human body balance, a low cost and portable measuring device of center of pressure (COP), known as center of pressure and complexity monitoring system (CPCMS), has been developed for data ...
Huang, C-W, Jiang, BC, Shieh, J-S, Sue, PD, Maysam F. Abbod, Bernard Jiang, Jiann-Shing Shieh, Huang, CW, Maysam Abbod, Pei-Der Sue, Shieh, JS, Abbod, MF, Bernard C. Jiang, Cheng-Wei Huang, Sue, P-D   +14 more
core   +1 more source

Multiscale permutation entropy analysis of electroencephalogram

Acta Physica Sinica, 2014
We carried out a detailed analysis and a comparison between normal and epileptic electroencephalogram (EEG) based on multiscale permutation entropy. The relationship between multiscale permutation entropy values of EEG and age, and the effect of scale factor on multiscale permutation entropy value were also discussed.
null Yao Wen-Po, null Liu Tie-Bing, null Dai Jia-Fei, null Wang Jun   +3 more
openaire   +1 more source

Multiscale based nonlinear dynamics analysis of heart rate variability signals.

PLoS ONE, 2020
Acceleration change index (ACI) is a fast and easy to understand heart rate variability (HRV) analysis approach used for assessing cardiac autonomic control of the nervous systems.
Syed Zaki Hassan Kazmi, Nazneen Habib, Rabia Riaz, Sanam Shahla Rizvi, Syed Ali Abbas, Tae-Sun Chung   +5 more
doaj   +1 more source

Application of Generalized Composite Multiscale Lempel–Ziv Complexity in Identifying Wind Turbine Gearbox Faults

Entropy, 2021
Wind turbine gearboxes operate in harsh environments; therefore, the resulting gear vibration signal has characteristics of strong nonlinearity, is non-stationary, and has a low signal-to-noise ratio, which indicates that it is difficult to identify wind
Xiaoan Yan, Daoming She, Yadong Xu, Minping Jia   +3 more
doaj   +1 more source

A noise-robust Multivariate Multiscale Permutation Entropy for two-phase flow characterisation

, 2022
Using a graph-based approach, we propose a multiscale permutation entropy to explore the complexity of multivariate time series over multiple time scales.
Fabila-Carrasco, John Stewart, Tan, Chao, Escudero, Javier; id_orcid   +2 more
core   +1 more source

Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method

Shock and Vibration, 2019
The cracking of piezoelectric ceramics is the main reason of failure of an ultrasonic motor. Since the fault information is too weak to reflect the condition of piezoelectric ceramics especially in the early degradation stage, a fault feature extraction ...
Guoqing An, Hongru Li
doaj   +1 more source