Výsledky vyhľadávania - "IEEE Transactions on Industrial Electronics"

Model-Free Predictive Current Control of PMSM Drives Based on Extended State Observer Using Ultralocal Model Autor Zhang, Yongchang, Jin, Jialin, Huang, Lanlan

“…Conventional model predictive current control (MPCC) is a powerful control strategy for three-phase inverters that has the advantages of simple concept, quick…”
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A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method Autor Wen, Long, Li, Xinyu, Gao, Liang, Zhang, Yuyan

“…Fault diagnosis is vital in manufacturing system, since early detections on the emerging problem can save invaluable time and cost. With the development of…”
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Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis Autor Li, Tianfu, Zhao, Zhibin, Sun, Chuang, Yan, Ruqiang, Chen, Xuefeng

“…Deep learning (DL) based methods have swept the field of mechanical fault diagnosis, because of the powerful ability of feature representation. However, many…”
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Peer-to-Peer Energy Trading in a Prosumer-Based Community Microgrid: A Game-Theoretic Model Autor Paudel, Amrit, Chaudhari, Kalpesh, Long, Chao, Gooi, Hoay Beng

“…This paper proposes a novel game-theoretic model for peer-to-peer (P2P) energy trading among the prosumers in a community. The buyers can adjust the energy…”
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A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery Autor Liu, Kailong, Shang, Yunlong, Ouyang, Quan, Widanage, Widanalage Dhammika

“…Predicting future capacities and remaining useful life (RUL) with uncertainty quantification is a key but challenging issue in the applications of battery…”
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NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion Autor Chen, Fu-Chen, Jahanshahi, Mohammad R.

“…Regular inspection of nuclear power plant components is important to guarantee safe operations. However, current practice is time consuming, tedious, and…”
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Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries Autor Chemali, Ephrem, Kollmeyer, Phillip J., Preindl, Matthias, Ahmed, Ryan, Emadi, Ali

“…State of charge (SOC) estimation is critical to the safe and reliable operation of Li-ion battery packs, which nowadays are becoming increasingly used in…”
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A Decentralized Bilateral Energy Trading System for Peer-to-Peer Electricity Markets Autor Khorasany, Mohsen, Mishra, Yateendra, Ledwich, Gerard

“…Increase in the deployment of distributed energy resources (DERs) has triggered a new trend to redesign electricity markets as consumer-centric markets relying…”
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Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data Autor Guo, Liang, Lei, Yaguo, Xing, Saibo, Yan, Tao, Li, Naipeng

“…The success of intelligent fault diagnosis of machines relies on the following two conditions: 1) labeled data with fault information are available; and 2) the…”
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Position Sensorless Permanent Magnet Synchronous Machine Drives-A Review Autor Wang, Gaolin, Valla, Maria, Solsona, Jorge

“…Owing to the competitive advantages of cost reduction, system downsizing, and reliability enhancement, position sensorless control methods for permanent magnet…”
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Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach Autor Chen, Zhenghua, Wu, Min, Zhao, Rui, Guretno, Feri, Yan, Ruqiang, Li, Xiaoli

“…For prognostics and health management of mechanical systems, a core task is to predict the machine remaining useful life (RUL). Currently, deep structures with…”
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Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis Autor Miao, Yonghao, Zhang, Boyao, Li, Chenhui, Lin, Jing, Zhang, Dayi

“…In this article, a new decomposition theory, feature mode decomposition (FMD), is tailored for the feature extraction of machinery fault. The proposed FMD is…”
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Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks Autor Zhao, Rui, Wang, Dongzhe, Yan, Ruqiang, Mao, Kezhi, Shen, Fei, Wang, Jinjiang

“…In modern industries, machine health monitoring systems (MHMS) have been applied wildly with the goal of realizing predictive maintenance including failures…”
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Disturbance-Observer-Based Control and Related Methods-An Overview Autor Chen, Wen-Hua, Yang, Jun, Guo, Lei, Li, Shihua

“…Disturbance-observer-based control (DOBC) and related methods have been researched and applied in various industrial sectors in the last four decades. This…”
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Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks Autor Ince, Turker, Kiranyaz, Serkan, Eren, Levent, Askar, Murat, Gabbouj, Moncef

“…Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two…”
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Deep Deterministic Policy Gradient-DRL Enabled Multiphysics-Constrained Fast Charging of Lithium-Ion Battery Autor Wei, Zhongbao, Quan, Zhongyi, Wu, Jingda, Li, Yang, Pou, Josep, Zhong, Hao

“…Fast charging is an enabling technique for the large-scale penetration of electric vehicles. This article proposes a knowledge-based, multiphysics-constrained…”
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Weighting Factor Design in Model Predictive Control of Power Electronic Converters: An Artificial Neural Network Approach Autor Dragicevic, Tomislav, Novak, Mateja

“…This paper proposes the use of an artificial neural network (ANN) for solving one of the ongoing research challenges in finite set-model predictive control…”
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Wireless Power Transfer-An Overview Autor Zhang, Zhen, Pang, Hongliang, Georgiadis, Apostolos, Cecati, Carlo

“…Due to limitations of low power density, high cost, heavy weight, etc., the development and application of battery-powered devices are facing with…”
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Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression Autor Wei, Jingwen, Dong, Guangzhong, Chen, Zonghai

“…Accurate remaining useful life (RUL) prediction and state-of-health (SOH) diagnosis are of extreme importance for safety, durability, and cost of energy…”
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A Motion Planning and Tracking Framework for Autonomous Vehicles Based on Artificial Potential Field Elaborated Resistance Network Approach Autor Huang, Yanjun, Ding, Haitao, Zhang, Yubiao, Wang, Hong, Cao, Dongpu, Xu, Nan, Hu, Chuan

“…This paper presents a novel motion planning and tracking framework for automated vehicles based on artificial potential field (APF) elaborated resistance…”
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