Results 51 to 60 of about 2,020,587 (182)

Effective Variable‐Speed Bearing Fault Diagnosis From Motor Current Signals Using Kurtosis‐Guided VMD and Multi‐Branch Convolutional Neural Network

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This study presents a novel deep learning‐based fault classification framework utilising Variational Mode Decomposition (VMD) for adaptive feature extraction and a Multi‐branch Convolutional Neural Network (M1D‐CNN) architecture for classification. The VMD hyperparameters were optimised based on kurtosis to ensure the extraction of the most informative
Seyyid Ahmed Djellouli, Mounir Djeddi, Aissa Kheldoun, Nima Khosravi, Adel Oubelaid   +4 more
wiley   +1 more source

A Performance Comparison of Conventional and Transverse Flux Rotating Switched Reluctance Motors

Gazi Üniversitesi Fen Bilimleri Dergisi, 2019
High power and torque densities have been claimed for transverse flux structures over the conventional (radial flux) switched reluctance machine (CSRM) structures in recent publications.
Nurettin ÜSTKOYUNCU, Krishnan RAMU
doaj   +1 more source

A Low‐Speed Sensorless Control Method for Switched Reluctance Motors Based on Dual‐Threshold Pulse Injection and Incremental Inductance Reconstruction

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
By reconstructing the incremental inductance, the traditional inductance vector method is rendered insusceptible to saturation effects, enabling robust sensorless operation under constant‐load, variable‐load and variable‐speed conditions at low speed.
Daobai Wang, Lixin Xiong, Dunxin Bian, Cunhe Li, Xiaoyuan Shi   +4 more
wiley   +1 more source

Fuzzy Controllers based DTC of 6/4 SRM drive with Novel Converter [PDF]

E3S Web of Conferences
Switched Reluctance Motor (SRM) is one of the best alternative motor drives for induction and synchronous drives in present trends. However, the SRM can able to replace those synchronous and inductance machine by using effective controller for many ...
V Haripriya, Gupta Sachin, Yadav Dhyan Chandra, Kulhar Kuldeep Singh   +3 more
doaj   +1 more source

Force Analysis and Torque Production of the Doubly Salient Parallel Path Magnetic Machine

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
This paper presents an in‐depth mathematical analysis of torque and force production mechanisms in the Doubly Salient Parallel Path Magnetic Motor (DS‐PPMM). Electromagnetic force distribution, torque ripple characteristics and the contributions of magnetic salience are analysed through analytical modelling and verified by finite element analysis.
Maryam Salehi, Madhav Manjrekar
wiley   +1 more source

Real-Time Modeling of Electric Machines for Hardware-in-the-Loop Environment: A State-of-the-Art Review

IEEE Access
Hardware-in-the-loop (HIL) simulation enables real-time closed-loop testing of electric drive systems by interfacing machine models with physical controllers.
Amrutha K. Haridas, Berker Bilgin
doaj   +1 more source

A New Concept for Deeper Integration of Converters and Drives in Electrical Machines: Simulation and Experimental Investigations

Open Physics, 2019
This paper introduces a new concept for integrated electrical motor drives (IEMD) with the aim of minimizing the number of inverter’s power switching components. The latter is switched reluctance motor (SRM) based.
Ghossini Hossam Al, Dang Thu Thuy, Duchesne Stéphane   +2 more
doaj   +1 more source

Reduction of Torque Ripple in Permanent Magnet Synchronous Motors for Electric Vehicles Using Enhanced Dwarf Mongoose Optimisation and a Supervised Attention‐Based Multi‐Scale Temporal Convolutional Network

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
In this paper, a new hybrid method named IDMO‐SAMTCN is introduced to reduce torque ripple in Permanent Magnet Synchronous Motors (PMSMs) used in electric vehicles. The method merges an Improved Dwarf Mongoose Optimisation algorithm for tuning PI controller parameters with a Supervised Attention‐based Multi‐scale Temporal Convolutional Network for ...
Vidyalakshmi Ravichandran, Manoharan Subramanian, Isaac JoshuaRamesh Lalvani Joshua Stephen Chellakumar   +2 more
wiley   +1 more source

Performance prediction of switched reluctance motor using improved generalized regression neural networks for design optimization

CES Transactions on Electrical Machines and Systems, 2018
Since practical mathematical model for the design optimization of switched reluctance motor (SRM) is difficult to derive because of the strong nonlinearity, precise prediction of electromagnetic characteristics is of great importance during the ...
Zhu Zhang, Shenghua Rao, Xiaoping Zhang
doaj   +1 more source

An Automated FEMM/NSGA‐II Multi‐Objective Optimiser for Segmented‐Stator Reluctance and Hybrid Reluctance Machines

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
Geometric parameters of the segmented‐stator SS‐SRM/SS‐HRM topology. This figure shows the geometric notation used for the stator, rotor, shaft, winding regions and magnet‐related variables that will be optimised. ABSTRACT This paper presents a fully automated finite‐element‐based multi‐objective optimisation workflow for segmented‐stator switched ...
Joel Bravo Castro, Lluis Monjo Mur, Baldui Blanque Molina   +2 more
wiley   +1 more source