Results 61 to 70 of about 86,661 (338)

Robust Scalar Control of Synchronous Reluctance Motor With Optimal Efficiency by MTPA Control

IEEE Access, 2021
In order to achieve improved performance and efficiency of domestic and industrial fan/pump applications using low-cost solutions, the synchronous reluctance motors (SynRMs) remains a better choice than induction motors (IMs) which are still widely used ...
Lon-Jay Cheng, M. Tsai
semanticscholar   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Low–Harmonic Control Strategy of a Dual Three–Phase Synchronous Reluctance Motor Based on Three–Vector Synthesis

Energies, 2022
Dual three–phase synchronous reluctance motors (DTP–SynRM) have the advantages of simple structure, high power density, fast dynamic response, and small torque ripple, and have broad application prospects in flywheel batteries.
Yonghong Huang, Yihang Liu, Qicuan Wang, Fan Yang   +3 more
doaj   +1 more source

Detection of inter-turn faults in multi-phase ferrite-PM assisted synchronous reluctance machine [PDF]

, 2019
Inter-turn winding faults in five-phase ferrite-permanent magnet-assisted synchronous reluctance motors (fPMa-SynRMs) can lead to catastrophic consequences if not detected in a timely manner, since they can quickly progress into more severe short-circuit
Candelo Zuluaga, Carlos Andres, García Espinosa, Antonio, López Torres, Carlos, Riba Ruiz, Jordi-Roger   +3 more
core   +2 more sources

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Discrete-Time Observer Design for Sensorless Synchronous Motor Drives [PDF]

, 2015
This paper deals with the speed and position estimation of interior permanent-magnet synchronous motor (IPM) and synchronous reluctance motor (SyRM) drives. A speed-adaptive full-order observer is designed and analyzed in the discrete-time domain.
Awan, Hafiz Asad Ali, Hinkkanen, Marko, Saarakkala, Seppo E., Tuovinen, Toni   +3 more
core   +2 more sources

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Analysis of Permanent Magnet-assisted Synchronous Reluctance Motor Based on Equivalent Reluctance Network Model

CES Transactions on Electrical Machines and Systems, 2022
In this paper, the equivalent reluctance network model (ERNM) is used to calculate the magnetic circuit of a permanent magnet-assisted synchronous reluctance motor (PMASynRM) and calculate no-load air-gap magnetic field and electromagnetic torque ...
Changbin Li, Xiuhe Wang, Feng Liu, Jie Ren, Zezhi Xing, Xinwei Gu   +5 more
doaj   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Design of a line-start synchronous reluctance motor [PDF]

, 2013
The design of line-start Synchronous Reluctance machines is proposed, based on the state of the art of motors designed for closed loop, vector control.
Gamba, Matteo, Pellegrino, Gian-Mario Luigi, Vagati, Alfredo, Villata, Franco   +3 more
core   +1 more source