International Journal of Electrical Power and Machine Systems

International Journal of Electrical Power and Machine Systems

International Journal of Electrical Power and Machine Systems is a peer-reviewed hybrid open-access journal launched in 2015 and is devoted to the dissemination, discussion, and development of techniques that are important to electrical machines and drives and are playing an important role in the development of technology. Journal includes a wide range of topics from electromagnetic and energy conservation to power electronics and pulsed power.

• Electrical Machines: Induction machines, synchronous machines, DC machines, permanent-magnet machines, brushless DC motors, switched-reluctance machines, stepper motors, universal motors, special electrical machines, generators, and transformers.
• Electric Drives and Motion Control: AC and DC drives, adjustable-speed drives, variable-frequency drives, servo drives, torque control, speed control, vector control, direct torque control, field-oriented control, and high-performance drive systems.
• Synchronous and Permanent-Magnet Machines: Synchronous motors, synchronous generators, synchronous reluctance machines, permanent-magnet synchronous motors, permanent-magnet generators, excitation systems, rotor design, and machine stability.
• Induction and Asynchronous Machines: Induction motors, induction generators, squirrel-cage machines, wound-rotor machines, starting methods, speed control, efficiency improvement, performance analysis, and fault diagnosis.
• Brushless and Special-Purpose Machines: BLDC motors, switched-reluctance motors, axial-flux machines, linear motors, hysteresis motors, stepper motors, and advanced machine topologies.
• Electromagnetics and Energy Conversion: Engineering electromagnetics, electromagnetic field analysis, magnetic circuits, energy-conversion principles, electromagnetic force, magnetic materials, field computation, and electromagnetic device design.
• Computational Electromagnetics: Finite-element analysis, finite-difference methods, boundary-element methods, electromagnetic simulation, field optimization, magnetic-device modelling, and electromagnetic performance analysis.
• Power Electronics for Machine Systems: Rectifiers, inverters, DC-DC converters, AC-AC converters, multilevel converters, power semiconductor devices, motor-drive converters, and power-electronic interfaces for electrical machines.
• Motor Controllers and Control Algorithms: PI and PID control, adaptive control, robust control, model-predictive control, sliding-mode control, vector control, direct torque control, sensorless control, and intelligent motor-control algorithms.
• Digital Control of Electrical Machines: Microcontroller-based control, DSP-based control, FPGA-based control, embedded controllers, real-time implementation, digital signal processing, and hardware-in-the-loop control.
• Artificial Intelligence in Electrical Machines: Artificial neural networks, machine learning, support-vector machines, fuzzy logic, deep learning, reinforcement learning, predictive analytics, and AI-assisted control and diagnostics.
• Electrical Power Systems: Power generation, transmission and distribution, load-flow analysis, power-system stability, voltage regulation, reactive-power management, fault analysis, reliability, and system planning.
• Power-System Stability and Dynamics: Transient stability, small-signal stability, voltage stability, frequency stability, electromechanical oscillations, rotor-angle stability, damping control, and machine-grid interaction.
• Renewable Energy and Electrical Machines: Wind generators, photovoltaic-powered drives, hydroelectric generators, hybrid renewable systems, renewable-energy conversion, generator control, and grid-connected renewable machines.
• Electric and Hybrid Vehicles: Electric-vehicle traction motors, hybrid-electric vehicles, motor drives, traction inverters, regenerative braking, motor-control systems, energy management, and vehicle powertrains.
• Battery and Energy Storage Integration: Battery-management systems, energy-storage interfaces, state-of-charge estimation, battery-assisted drives, supercapacitor systems, and energy-storage applications in electrical machines and power systems.
• Fault Detection and Diagnostics: Electrical faults, mechanical faults, winding faults, bearing faults, rotor faults, insulation faults, condition monitoring, anomaly detection, fault classification, and predictive maintenance.
• Protection of Electrical Machines and Power Systems: Motor protection, generator protection, transformer protection, overcurrent protection, differential protection, circuit breakers, relay coordination, HVDC protection, and system reliability.
• Condition Monitoring and Predictive Maintenance: Vibration analysis, current-signature analysis, thermal monitoring, acoustic monitoring, signal-processing techniques, machine-health assessment, prognostics, and remaining-useful-life estimation.
• Signal Processing for Machine Systems: Digital signal processing, spectral analysis, filtering, feature extraction, wavelet analysis, time-frequency analysis, vibration signals, electrical signals, and fault-diagnostic signal processing.
• Power Quality and Machine Performance: Harmonics, voltage sag and swell, power-factor correction, unbalanced supply conditions, harmonic distortion, motor performance under poor power quality, and mitigation techniques.
• Energy Efficiency and Loss Reduction: Machine efficiency, core losses, copper losses, stray losses, thermal losses, efficiency optimization, high-efficiency motors, energy-efficient drives, and energy conservation.
• Machine Design and Optimization: Electromagnetic design, thermal design, mechanical design, topology optimization, material selection, rotor and stator optimization, multi-objective design, and computer-aided electrical-machine design.
• Thermal Management of Electrical Machines: Thermal modelling, cooling systems, heat transfer, temperature estimation, insulation life, thermal stress, and temperature-aware machine design.
• Smart Grids and Distributed Energy Systems: Distributed generation, microgrids, smart-grid integration, distributed energy resources, machine-grid interactions, intelligent energy management, and grid-supporting technologies.
• Industrial Applications of Electrical Machines: Industrial motor systems, pumps, compressors, conveyors, machine tools, manufacturing equipment, process industries, electric propulsion, and industrial automation.
• Reliability and Life Assessment: Reliability modelling, insulation aging, bearing life, machine degradation, failure analysis, lifetime prediction, accelerated testing, and maintenance planning.
• Emerging Technologies in Electrical Power and Machine Systems: Digital twins, smart motors, IoT-enabled machine monitoring, edge AI, advanced magnetic materials, wide-bandgap power devices, high-speed machines, superconducting machines, and autonomous electrical systems.