Results 111 to 120 of about 808,398 (185)
Rolling Bearing Degradation State Identification Based on LPP Optimized by GA
International Journal of Rotating Machinery, 2016 In view of the problem that the actual degradation status of rolling bearing has a poor distinguishing characteristic and strong fuzziness, a rolling bearing degradation state identification method based on multidomain feature fusion and dimension ...
He Yu +3 more
doaj +1 more source
Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2321-2335, November 2026.ABSTRACT Purpose To jointly reconstruct high‐resolution diffusion‐weighted volumes and eliminate slab‐boundary artifacts while preserving fine anatomical detail from undersampled 3D multi‐slab k‐space acquisitions. Methods A bilinear forward model was formulated to describe the 3D multi‐slab acquisition, treating the image volume and slab excitation ...
Reza Ghorbani +4 more
wiley +1 more source
Advanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
IEEE Transactions on Neural Systems and Rehabilitation EngineeringAlthough the entropy algorithm is widely applied in signal complexity analysis, its stability and reliability are limited due to the existence of abnormal signal points. In order to explore the influence of aging and stroke on the human neuromuscular system, refined fuzzy entropy and refined composed multiscale fuzzy entropy were proposed and applied ...
Hairong Yu, Yuanyu Wu, Rong Song
openaire +3 more sources
Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine
, 2012 Bearing fault diagnosis has attracted significant attention over the past few decades. It consists of two major parts: vibration signal feature extraction and condition classification for the extracted features.
Chun-Chieh Wang +5 more
core +1 more source
Scientific ReportsThe mode mixing problem and inherent mode function selection bias in Fast Ensemble Empirical Mode Decomposition (FEEMD) result in ineffective extraction of fault components during the denoising stage, the loss of coarse-grained information in Multiscale ...
Min Mao +7 more
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Algorithm of arithmetical operations with fuzzy numerical data [PDF]
In this article the theoretical generalization for representation of arithmetic operations with fuzzy numbers is considered. Fuzzy numbers are generalized by means of fuzzy measures.
Bocharnikov, Victor, Sveshnikov, Sergey
core
Zhendong Ceshi yu Zhenduan针对齿轮故障领域识别率低和识别时间长的问题，基于多尺度加权排列熵（multiscale weighted permutation entropy，简称MWPE）、蜣螂算法（dung beetle optimizer，简称DBO）与支持向量机（support vector machine，简称SVM）的原理，提出基于MWPE和DBO结合SVM的故障识别方法。首先，由于MWPE的嵌入维数难以确定且对结果影响较大，通过MWPE熵值分析引入变异系数（coefficient of variation，简称CV ...
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Locomotive bearing fault diagnosis using hybrid entropy and combined forecasting model
机车电传动Remaining useful life (RUL) estimation for bearings plays a key role in reducing unplanned maintenance and improving locomotive reliability and safety. The accuracy of RUL estimation depends on the chosen diagnostic index and forecasting model.
ZHAO Qingguo, YANG Jiangtian
doaj
Accurate detection of surface defects such as wear, cracks, and flaws in metallic components is critical for equipment reliability and longevity, representing a core challenge in surface integrity engineering.
Shunrong Chen +8 more
core +1 more source