Suchergebnisse - physics-embedded algorithm structure

Physics-informed machine learning in prognostics and health management: State of the art and challenges: Physics-informed machine learning in prognostics and health management: state of the art and challenges

Autoren: Deng, Weikun Nguyen, Khanh T.P. Medjaher, Kamal et al.

Weitere Verfasser: Deng, Weikun Nguyen, Khanh T.P. Medjaher, Kamal et al.

Quelle: Applied Mathematical Modelling. 124:325-352

Schlagwörter: Artificial intelligence, knowledge, physics-informed machine learning, Numerical methods for partial differential equations, boundary value problems, Physics-embedded algorithm structure, [SPI.MAT] Engineering Sciences [physics]/Materials, prognostics and health management, Physics-informed machine learning, Prognostics and health management, physics-informed input space, Physics-informed input space, physics-constraint learning, physics-embedded algorithm structure, Physics-constraint learning, Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems

Dateibeschreibung: application/xml; application/pdf

Zugangs-URL: https://zbmath.org/8023859
https://doi.org/10.1016/j.apm.2023.07.011
https://hal.science/hal-04290849v1
https://doi.org/10.1016/j.apm.2023.07.011
https://hal.science/hal-04290849v1/document

Physics‐Embedded Machine Learning for Fatigue Cumulative Damage Prediction

Autoren: Zhiyuan Gao Xiaomo Jiang Yifan Guo et al.

Quelle: Fatigue & Fracture of Engineering Materials & Structures. 48:4352-4374

Physics‐Embedded Machine Learning for Fatigue Cumulative Damage Prediction.

Autoren: Gao, Zhiyuan Jiang, Xiaomo Guo, Yifan et al.

Quelle: Fatigue & Fracture of Engineering Materials & Structures; Oct2025, Vol. 48 Issue 10, p4352-4374, 23p

Schlagwörter: MACHINE learning, FATIGUE life, STRUCTURAL mechanics, EMPIRICAL research, FATIGUE cracks

Research on Power Flow Prediction Based on Physics-Informed Graph Attention Network.

Autoren: Huang, Qiyue Wang, Yapeng Yang, Xu et al.

Quelle: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10555, 22p

Schlagwörter: MICROGRIDS, GRAPH neural networks, ELECTRIC power production forecasting, ELECTRIC power distribution, DIMENSIONAL reduction algorithms, MATHEMATICAL optimization

An Electromagnetic Imaging Algorithm Based on Generative Adversarial Network for Limited Observation Angle.

Autoren: Yang, Chun Xia Yang, Xirui Zhang, Jian et al.

Quelle: Applied Computational Electromagnetics Society Journal; Aug2025, Vol. 40 Issue 8, p702-713, 12p

A Review: Research Progress in Bridge Structural Health Monitoring From the Perspective of AI Development.

Autoren: Tang, Yunchao Wan, Shuai Yang, Qingying et al.

Quelle: Structural Control & Health Monitoring; 10/27/2025, Vol. 2025, p1-37, 37p

Schlagwörter: ARTIFICIAL intelligence, CIVIL engineering, DEEP learning, EXPERT systems, CAUSAL artificial intelligence, BRIDGE inspection, MACHINE learning

Review on Sound-Based Industrial Predictive Maintenance: From Feature Engineering to Deep Learning.

Autoren: Ye, Tongzhou Peng, Tianhao Yang, Lidong

Quelle: Mathematics (2227-7390); Jun2025, Vol. 13 Issue 11, p1724, 31p

Schlagwörter: DETECTION algorithms, WORK environment, INDUSTRIAL productivity, INDUSTRIALISM, FEATURE extraction, DEEP learning

Adaptive Transient Power Angle Control for Virtual Synchronous Generators via Physics-Embedded Reinforcement Learning.

Autoren: Gao, Jiemai Chen, Siyuan Fan, Shixiong et al.

Quelle: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3503, 27p

Schlagwörter: REINFORCEMENT learning, ELECTRIC power systems, ADAPTIVE control systems, DYNAMIC stability, FEEDBACK control systems, CLEAN energy, SYNCHRONOUS generators

Toward an Efficient and Robust Process–Structure Prediction Framework for Filigree L-PBF 316L Stainless Steel Structures.

Autoren: Qiao, Yu Grad, Marius Nonn, Aida

Quelle: Metals (2075-4701); Jul2025, Vol. 15 Issue 7, p812, 22p

Schlagwörter: CELLULAR automata, MICROSTRUCTURE, MATERIALS texture, THIN-walled structures, SELECTIVE laser melting, PHASE transitions, SOLID freeform fabrication, STAINLESS steel

SHM for Complex Composite Aerospace Structures: A Case Study on Engine Fan Blades.

Autoren: Galanopoulos, Georgios Paunikar, Shweta Stamatelatos, Giannis et al.

Quelle: Aerospace (MDPI Publishing); Nov2025, Vol. 12 Issue 11, p963, 21p

Schlagwörter: STRUCTURAL health monitoring, AEROSPACE engineering, RESEARCH methodology, FAILURE analysis, CONDITION-based maintenance, FIBER Bragg gratings, TURBOMACHINE blades, COMPOSITE materials

Data-Driven Perovskite Design via High-Throughput Simulation and Machine Learning.

Autoren: Wang, Yidi Sun, Dan Zhao, Bei et al.

Quelle: Processes; Oct2025, Vol. 13 Issue 10, p3049, 21p

Schlagwörter: PEROVSKITE, MACHINE learning, COMPUTER simulation, OPTOELECTRONICS, PREDICTION models, MATERIALS analysis, ELECTROCATALYSIS, MATERIALS science

NMS-EACO: A Novel Multi-Strategy ACO for Mobile Robot Path Planning.

Autoren: Zhang, Chao Ma, Jing Wang, Xin et al.

Quelle: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3440, 21p

Schlagwörter: ROBOTIC path planning, NONHOLONOMIC constraints, OPTIMIZATION algorithms, MATHEMATICAL optimization, ANT algorithms

Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning.

Autoren: Ji, Haoyu Song, Yalan Bindas, Tadd et al.

Quelle: Nature Communications; 10/15/2025, Vol. 16 Issue 1, p1-15, 15p

Schlagwörter: WATER management, FLOOD risk, HYDROLOGIC models, GROUNDWATER, CLIMATE sensitivity, WATER supply

Physics-Embedded Neural Networks for Enhanced Ultrasonic Brain Tomography.

Autoren: Ren, Jiahao Li, Jian Liu, Yang

Quelle: Journal of Physics: Conference Series; 2024, Vol. 2822 Issue 1, p1-14, 14p

Research on Encryption Algorithm and Embedded System Optimization Strategy Based on IoT Security.

Autoren: Jing Liang

Quelle: Journal of Cyber Security & Mobility; 2025, Vol. 14 Issue 1, p229-258, 29p

Schlagwörter: DATA encryption, INTERNET of things, EMBEDDED computer systems, MICROCONTROLLERS, ALGORITHMS

Electrification and Smartification for Modern Tractors: A Review of Algorithms and Techniques.

Autoren: Zhang, Chaoxian Li, Jun Li, Chuxi et al.

Quelle: Agriculture; Basel; Sep2025, Vol. 15 Issue 18, p1943, 30p

Schlagwörter: ELECTRIFICATION, TRACTORS, ENERGY storage, GREENHOUSE gases, ENERGY consumption, TECHNOLOGICAL innovations, SUSTAINABLE agriculture, ADAPTIVE control systems

Symplectic physics-embedded learning via Lie groups Hamiltonian formulation for serial manipulator dynamics prediction.

Autoren: Wang, Fei Chen, Liping Ding, Jianwan

Quelle: Scientific Reports; 9/26/2025, Vol. 15 Issue 1, p1-18, 18p

Schlagwörter: LIE groups, HAMILTONIAN mechanics, ROBOT control systems, ROBOT kinematics, SYMPLECTIC geometry, FEATURE selection, ARTIFICIAL neural networks

Physics-Informed Surrogate Modelling in Fire Safety Engineering: A Systematic Review.

Autoren: Yarmohammadian, Ramin Put, Florian Van Coile, Ruben

Quelle: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 15, p8740, 36p

Schlagwörter: FIRE protection engineering, MACHINE learning, REDUCED-order models, PREDICTION models, OPTIMIZATION algorithms, COMPUTER simulation

Vibration analysis of porous sandwich beam reinforced by graphene platelets/graphene origami auxetic metamaterials using sinusoidal shear deformation theories in thermal environment.

Autoren: Hanifehlou, Sona Mohammadimehr, Mehdi Batgozini, Fatemeh

Quelle: Discover Applied Sciences; Dec2025, Vol. 7 Issue 12, p1-36, 36p

Spatiotemporal Koopman decomposition of second mode instability from a hypersonic schlieren video.

Autoren: Ghannadian, Arman C. Gosse, Ryan C. Roy, Subrata et al.

Quelle: Physics of Fluids; Sep2024, Vol. 36 Issue 9, p1-14, 14p

Schlagwörter: MACH number, MODE shapes, PRESSURE measurement, VIDEOS, ALGORITHMS