International Journal of Electrical Machine Analysis and Design

International Journal of Electrical Machine Analysis and Design

International Journal of Electrical Machine Analysis and Design is a peer-reviewed hybrid open-access journal launched in 2023 that publishes original research concerning electrical machines. Journal accepts experimental and theoretical papers and publishes original research articles and review papers. The journal also promotes the practical application of research that is beneficial for society.

• Electrical Machine Analysis: Analytical, numerical, and experimental analysis of electrical machines; steady-state and transient analysis; performance evaluation; electromagnetic behaviour; torque-speed characteristics; efficiency analysis; and machine parameter estimation.
• Electrical Machine Design: Electromagnetic, thermal, mechanical, and multidisciplinary design of electrical machines; stator and rotor design; winding configuration; magnetic circuit design; material selection; dimensional optimization; and design trade-offs.
• Induction Machines: Squirrel-cage and wound-rotor induction motors, induction generators, starting methods, speed control, efficiency improvement, parameter estimation, performance analysis, and fault diagnosis.
• Synchronous Machines: Synchronous motors, synchronous generators, excitation systems, salient-pole and cylindrical-rotor machines, stability, performance analysis, and advanced synchronous machine design.
• Permanent-Magnet Machines: Permanent-magnet synchronous motors, permanent-magnet generators, surface-mounted and interior-PM machines, axial-flux PM machines, magnet selection, demagnetization analysis, cogging torque reduction, and high-efficiency PM machine design.
• Brushless DC Machines: BLDC motor modelling, commutation, drive control, torque ripple minimization, speed regulation, sensorless operation, motor-drive integration, and industrial and mobility applications.
• Switched Reluctance and Reluctance Machines: Switched-reluctance motors, synchronous-reluctance motors, torque-ripple reduction, acoustic-noise reduction, rotor/stator optimization, control strategies, and high-speed applications.
• DC and Special Electrical Machines: DC motors and generators, universal motors, hysteresis motors, stepper motors, homopolar machines, linear machines, transverse-flux machines, flux-switching machines, and other emerging machine topologies.
• Axial-Flux and Radial-Flux Machines: Axial-flux motors and generators, radial-flux machines, yokeless and segmented-armature configurations, compact machine architectures, high-torque-density designs, and advanced cooling approaches.
• High-Speed and High-Torque-Density Machines: High-speed motors and generators, high-power-density machines, traction motors, aerospace electrical machines, compact machine design, rotor-stress analysis, and advanced bearing systems.
• Electric Drives and Motion Control: Variable-speed drives, servo drives, field-oriented control, direct torque control, vector control, sensorless control, torque control, speed control, and precision motion systems.
• Power Electronics for Electrical Machines: Inverters, rectifiers, DC-DC converters, multilevel converters, drive converters, switching strategies, wide-bandgap power devices, and converter-machine interaction.
• Machine Control Algorithms: PI/PID control, adaptive control, predictive control, sliding-mode control, intelligent control, optimal control, robust control, self-tuning control, and data-driven control methods.
• Artificial Intelligence in Electrical Machines: Machine learning, deep learning, neural networks, fuzzy systems, reinforcement learning, AI-based modelling, predictive maintenance, fault diagnosis, design optimization, and intelligent motor control.
• Finite Element Analysis and Computational Modelling: FEM-based electromagnetic analysis, thermal modelling, structural analysis, multi-physics simulation, computational electromagnetics, design validation, and simulation-driven machine optimization.
• Electromagnetic Field Analysis: Magnetic-field distribution, flux-density analysis, leakage flux, saturation, magnetic losses, force and torque calculation, electromagnetic noise, and field-oriented machine design.
• Thermal Analysis and Cooling of Electrical Machines: Thermal modelling, heat-transfer analysis, liquid cooling, air cooling, direct cooling, thermal networks, temperature estimation, insulation life, and temperature-aware design.
• Vibration, Noise and Acoustic Analysis: Electromagnetic vibration, structural vibration, acoustic noise, torque ripple, resonance, modal analysis, noise reduction, and NVH optimization.
• Machine Optimization: Multi-objective optimization, topology optimization, parametric optimization, genetic algorithms, particle-swarm optimization, surrogate modelling, sensitivity analysis, and AI-assisted machine design.
• Condition Monitoring and Fault Diagnosis: Bearing faults, winding faults, rotor faults, eccentricity, insulation degradation, demagnetization, vibration monitoring, current-signature analysis, thermal monitoring, and predictive diagnostics.
• Reliability and Life Assessment: Reliability modelling, failure analysis, insulation aging, bearing life, thermal stress, mechanical fatigue, machine degradation, remaining-useful-life estimation, and maintenance planning.
• Electrical Machine Protection: Overcurrent protection, thermal protection, phase-loss protection, earth-fault protection, differential protection, motor protection relays, and machine safety systems.
• Electric Vehicle Traction Machines: Traction motors, EV and HEV propulsion, motor-drive integration, high-efficiency traction systems, regenerative braking, thermal management, high-speed traction machines, and vehicle powertrain applications.
• Renewable Energy Electrical Machines: Wind generators, hydro generators, doubly fed induction generators, permanent-magnet generators, renewable-energy conversion systems, grid-connected machines, and hybrid energy systems.
• Industrial Electrical Machines: Motors and generators for pumps, compressors, conveyors, machine tools, mining, manufacturing, process industries, marine systems, and heavy-duty applications.
• Robotics and Mechatronic Machine Systems: Servo motors, direct-drive motors, actuators, robotic joint drives, precision motors, integrated mechatronic systems, and electrical machines for autonomous systems.
• Smart and Connected Electrical Machines: Sensor-integrated motors, IoT-enabled monitoring, intelligent drives, smart motors, edge computing, digital diagnostics, remote monitoring, and Industry 4.0 applications.
• Digital Twins of Electrical Machines: Real-time virtual models, digital machine replicas, condition prediction, performance simulation, predictive maintenance, virtual commissioning, and life-cycle monitoring.
• Electrical Machine Materials: Magnetic steels, permanent magnets, soft magnetic composites, conductors, insulation systems, advanced magnetic materials, nanocrystalline materials, and material-property optimization.
• Emerging Electrical Machine Technologies: Additive manufacturing of electrical machines, superconducting machines, bearingless motors, integrated motor drives, modular machine architectures, advanced cooling systems, and next-generation machine concepts.