Results 41 to 50 of about 3,492,245 (278)

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Fault Prediction Method of Boost Converter Based on Multi-Modal Components and Temporal Convolutional Networks

Energies
During long-term operation, power electronic converters are jointly affected by component degradation and operational disturbances, leading to pronounced nonstationary and multi-scale characteristics in output-voltage signals, which pose challenges for ...
Jiaying Li, Chengye Zhu, Yuhang Dong, Min Xia   +3 more
doaj   +1 more source

Copper‐Driven Epithelial Barrier Disruption: A Novel Mechanism of COPD Acute Exacerbations Mediated by the TNF‐α/ATP7A Axis

Advanced Science, EarlyView.
This study reveals a copper‐driven mechanism of COPD acute exacerbations mediated by the TNF‐α/ATP7A axis. TNF‐α suppresses the copper transporter ATP7A via competitive NF‐κB/CREB1/CBP signaling, resulting in intracellular copper accumulation, mitochondrial oxidative stress, and epithelial barrier disruption.
Xinru Xiao, Yongzhe Hao, Ziqi Ding, Zhipeng Wang, Yujia Shi, Yanhua Huang, Chunjian Qi, Qian Zhang   +7 more
wiley   +1 more source

Variational mode decomposition: mode determination method for rotating machinery diagnosis [PDF]

, 2018
Variational mode decomposition (VMD) is a modern decomposition method used for many engineering monitoring and diagnosis recently, which replaced traditional empirical mode decomposition (EMD) method.
Isham, Muhd. Firdaus, Ahmad, Zair Asrar, Leong, Muhammad Salman, Lim, Meng Hee   +3 more
core   +3 more sources

Tatouage audio par EMD [PDF]

, 2013
In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called ...
KHALDI, Kais, BOUDRAA, Abdel-Ouahab
core   +1 more source

Integrative Multi‐Omics Analysis Reveals a Mitochondrial–Immune Axis Associated With Neoadjuvant Chemotherapy Response in High‐Grade Serous Ovarian Cancer

Advanced Science, EarlyView.
Integrative multi‐omics analysis delineates a mitochondrial–immune axis governing neoadjuvant chemotherapy response in high‐grade serous ovarian cancer. Immune‐active tumors exhibit enhanced B‐cell infiltration and favorable sensitivity, whereas metabolically rewired tumors display oxidative phosphorylation dependency and resistance.
Wei Jiang, Yi Wang, Xiaohang Lu, Qianlan Yao, Libing Xiang, Xu Cai, Xiaoyu Tu, Shaoxian Tang, Ying Xu, Yufan Cheng, Liming Shen, Huijuan Yang   +11 more
wiley   +1 more source

A data-driven approach for linear and nonlinear damage detection using variational mode decomposition and GARCH model [PDF]

, 2022
In this article, an original data-driven approach is proposed to detect both linear and nonlinear damage in structures using output-only responses.
Yang, TY, Kalbkhan, Hashem, Kalbkhani, Hashem, Ehsan Noroozinejad Farsangi, T. Y. Yang, Gharehbaghi, Vahidreza, Noroozinejad Farsangi, Ehsan (R21087), Hashem Kalbkhani, Seyedali Mirjalili, Gharehbaghi, Vahid Reza, Farsangi, Ehsan Noroozinejad, Vahid Reza Gharehbaghi, Mirjalili, Seyedali, Yang, T. Y.   +13 more
core   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Mechanical Fault Diagnosis Method of a Disconnector Based on Improved Dung Beetle Optimizer–Multivariate Variational Mode Decomposition and Convolutional Neural Network–Bidirectional Long Short-Term Memory

Machines
As one of the main faults of a disconnector, a mechanical fault is difficult to diagnose in time because of its weak self-evidence, its wide range of fault categories, and the difficulty in obtaining fault sample data.
Chi Zhang, Hongzhong Ma, Wei Sun
doaj   +1 more source