Frontiers

Thermal and dynamic modelling of permanent-magnet synchronous motors (PMSM) driven electric vehicle powertrain with dual-loop control strategy

This paper presents a comprehensive electro-thermal model of a Permanent Magnet Synchronous Motor (PMSM)-driven electric vehicle (EV) powertrain integrated with a dual-loop control strategy for ...
IEEE

Enhancing Torque Response During Overmodulation via Dynamic Flux-Trajectory Optimization in DTC-SVM SPMSM Drives

Abstract: Direct-torque-control cooperating with space-vector-modulation (DTC-SVM) are attracting lots of attentions in surface-mounted permanent magnet synchronous motor (SPMSM) drives due to ...
Frontiers

Research on fault diagnosis in the operation monitoring of permanent magnet synchronous motors through deep learning

Permanent magnet synchronous motor (PMSM) may develop faults during long-term operation, affecting the stability and safety of the drive system. The convolutional neural network (CNN)-gated recurrent ...
ascopubs.org

Analysis of Tumor Microenvironmental Features Between Primary and Synchronous Liver Metastases From Patients With Colorectal Cancers Using a Deep Learning Algorithm

Adult patients with CRC with synchronous CRLM (N = 57) at Mayo Clinic were identified from the electronic health record. Routine tumor hematoxylin and eosin sections were digitized and reviewed for ...
IEEE

Stability Region Assessment With Mechanism-Data Driven Equivalent Impedance for Wind Power Plant

Abstract: Online identification of the stability region for the wind power plant (WPP) equipped with permanent magnet synchronous generators encounters two challenges: calculating high-order impedance ...
GitHub

Distance Vector Routing Algorithm

Writing a "distributed" set of procedures that implement a distributed asynchronous distance vector routing for the network shown in below figure. The routines you will write: For the basic part of ...
Scientific Research Publishing

Schaffer, J.D. (1985) Multiple Objective Optimization with Vector Evaluated Genetic Algorithms. International Conference on Genetic Algorithms, Lawrence Erlbaum Associates, 93-100.

ABSTRACT: In order to improve some shortcomings of the standard particle swarm optimization algorithm, such as premature convergence and slow local search speed, a double population particle swarm ...