Results 141 to 150 of about 228,739 (312)

Intelligent Fault Diagnosis Method Based on Hybrid Attention and Dimension-Aligned Distillation for Rotating Machinery

IET Signal Processing
Intelligent fault diagnosis (IFD) of rotating machinery is critical for ensuring industrial safety and reliability. However, existing deep learning-based IFD methods face three core challenges: suboptimal feature discrimination of single attention ...
Chuanyan Wu, Zhiguo Yu, Bentao Lin, Biao Yu, Qinyu Jiang, Huanghe Zhang, Rui Gao, Qifan Yang, Rui Song   +8 more
doaj   +1 more source

Extrusion‐Based Additive Manufacturing of Advanced Ceramics: Strengthening Mechanisms and Process Optimization Review

Advanced Engineering Materials, EarlyView.
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari, Mohammad Hadi Sheikh‐Ansari, Avinash Borgaonkar, Mehran Dadkhah, Abdollah Saboori   +4 more
wiley   +1 more source

Intelligent automated guided vehicle controller with reverse strategy [PDF]

, 2011
This paper describes the intelligent Automated Guided Vehicle (AGV) control system using Fuzzy Rule Interpolation (FRI) method. The AGV used in this paper is a virtual vehicle simulated using computer.
Wong, K.W., Kato, S.
core   +1 more source

DBDA-net: An interpretable multi-source domain adaptive model for bearing fault diagnosis using dual-end vibration signals

Journal of King Saud University: Computer and Information Sciences
As the core transmission component of rotating machinery, the accuracy and generalization of bearing fault diagnosis are critical for the safe and stable operation of industrial systems.
Ziang Du, Yanfei Liu, Zhaoqiang Wang, Congbao Tian, Qian Zhang   +4 more
doaj   +1 more source

Detection of Welding Defects Using the YOLOv8-ELA Algorithm

Applied Sciences
To address the issue of the low precision in detecting defects in aluminum alloy weld seam digital radiography (DR) images using the current target detection algorithms, a modified algorithm named YOLOv8-ELA based on YOLOv8 is proposed.
Yunxia Chen, Yangkai He, Lei Wu
doaj   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

Advanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling, Philipp von Hartrott, Jörg Waitelonis, Thomas Hanke, Henk Birkholz, Hossein Beygi Nasrabadi, Khashayar Razghandi, Kamilla Zaripova, Felix Thonagel, Fabian Neuhaus, Martin Glauer, Lars Vogt, Harald Sack, Lutz Mädler, Bernd Bayerlein, Chris Eberl   +15 more
wiley   +1 more source

Fuzzy intelligent control of automotive vibration via magneto-rheological damper [PDF]

, 2004
Based on analyses of characteristics of Magneto-Theological (MR) damper, a hierarchical fuzzy intelligent controller is proposed for vibration control of an automotive vehicle with MR dampers.
Yu, M, Liu, DK, Chen, WM, Li, R
core  

Method of tail beam posture prediction of top coal caving hydraulic support based on LSTM

Meitan kexue jishu
Fully mechanized caving is the main mining method for extra-thick coal seams in my country. The control accuracy of the caving actuator depends largely on the data feedback of the tail beam posture.
Yupeng YAO, Jinglin ZHANG, Wu XIONG
doaj   +1 more source

Editorial: Intelligent control and applications for robotics, volume II. [PDF]

Front Neurorobot, 2023
Zhou Y.
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source