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The idea of preparing an Energies Special Issue on “Structural Prognostics and Health Management in Power & Energy Systems” is to compile information on the recent advances in structural prognostics and health management (SPHM). Continued improvements on SPHM have been made possible through advanced signature analysis, performance degradation assessment, as well as accurate modeling of failure mechanisms by introducing advanced mathematical approaches/tools. Through combining deterministic and probabilistic modeling techniques, research on SPHM can provide assurance for new structures at a design stage and ensure construction integrity at a fabrication phase. Specifically, power and energy system failures occur under multiple sources of uncertainty/variability resulting from load variations in usage, material properties, geometry variations within tolerances, and other uncontrolled variations. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on SPHM are desired and expected, which attempt to prevent overdesign and unnecessary inspection and provide tools to enable a balance between safety and economy to be achieved. This Special Issue has attracted submissions from China, USA, Portugal, and Italy. A total of 26 submissions were received and 11 articles finally published.

empirical mode decomposition --- underground powerhouse --- sensitivity analysis --- DNN --- fault detection --- neural networks --- structural health monitoring --- analysis mode decomposition --- dynamic analysis of the structure --- residual useful life --- renewable energy --- remaining useful life --- retrofitting activities --- wind turbine blade --- optimized deep belief networks --- strain prediction --- offshore wind turbines --- low frequency tail fluctuation --- oil and gas platforms --- supporting vector machine (SVM) --- wave–structure interaction (WSI) --- sifting stop criterion --- probabilistic analyses of stochastic processes and frequency --- mode mixing --- non-probabilistic reliability index --- data-driven --- prognostics --- turbine blisk --- wind turbines --- supervisory control and data acquisition system --- fuzzy safety criterion --- analysis-empirical mode decomposition --- rotation of hydraulic generator --- life cycle cost --- health monitoring --- reliability --- wavelet decomposition --- weighted regression --- similarity-based approach --- vibration transmission mechanism --- wind and wave analysis --- full-scale static test --- deep learning --- multioperation condition --- extremum surface response method --- lithium-ion battery --- vibration test --- lateral-river vibration --- operational modal analysis --- dynamic analysis --- regeneration phenomenon --- machine learning --- prognostic and Health Management --- offshore structures --- NAR neural network --- techno-economic assessments --- stochastic subspace identification --- vertical axis wind turbine --- dynamic fuzzy reliability analysis

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This book is a Special Issue Reprint edited by Prof. Massimo Vitelli and Dr. Luigi Costanzo. It contains original research articles covering, but not limited to, the following topics: maximum power point tracking techniques; forecasting techniques; sizing and optimization of PV components and systems; PV modeling; reconfiguration algorithms; fault diagnosis; mismatching detection; decision processes for grid operators.

sensor network --- data fusion --- complex network analysis --- fault prognosis --- photovoltaic plants --- ANFIS --- statistical method --- gradient descent --- photovoltaic system --- sustainable development --- PV power prediction --- artificial neural network --- renewable energy --- environmental parameters --- multiple regression model --- moth-flame optimization --- parameter extraction --- photovoltaic model --- double flames generation (DFG) strategy --- Solar cell parameters --- single-diode model --- two-diode model --- COA --- photovoltaic systems --- maximum power point tracking --- single stage grid connected systems --- solar concentrator --- spectral beam splitting --- diffractive optical element --- diffractive grating --- PVs power output forecasting --- adaptive neuro-fuzzy inference systems --- particle swarm optimization-artificial neural networks --- solar irradiation --- photovoltaic power prediction --- publicly available weather reports --- machine learning --- long short-term memory --- integrated energy systems --- smart energy management --- PV fleet --- clustering-based PV fault detection --- unsupervised learning --- self-imputation --- implicit model solution --- photovoltaic array --- series–parallel --- global optimization --- partial shading --- deterministic optimization algorithm --- metaheuristic optimization algorithm --- genetic algorithm --- solar cell optimization --- finite difference time domain --- optical modelling --- thermal image --- photovoltaic module --- hot spot --- image processing --- deterioration --- linear approximation --- MPPT algorithm --- duty cycle --- global horizontal irradiance --- mathematical modeling --- feed-forward neural networks --- recurrent neural networks --- LSTM cell --- performances evaluation --- clear sky irradiance --- persistent predictor --- photovoltaics --- artificial neural networks --- national power system

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It is difficult to imagine a modern society without rotating electric machines. Their use has been increasing not only in the traditional fields of application but also in more contemporary fields, including renewable energy conversion systems, electric aircraft, aerospace, electric vehicles, unmanned propulsion systems, robotics, etc. This has contributed to advances in the materials, design methodologies, modeling tools, and manufacturing processes of current electric machines, which are characterized by high compactness, low weight, high power density, high torque density, and high reliability. On the other hand, the growing use of electric machines and drives in more critical applications has pushed forward the research in the area of condition monitoring and fault tolerance, leading to the development of more reliable diagnostic techniques and more fault-tolerant machines. This book presents and disseminates the most recent advances related to the theory, design, modeling, application, control, and condition monitoring of all types of rotating electric machines.

History of engineering & technology --- core saturation --- cross-coupling inductance --- wound synchronous machines (WSM) --- signal injection --- position sensorless --- high-frequency model --- hybrid permanent magnet --- interior permanent magnet (IPM) machine --- magnet-axis-shifted --- reluctance torque --- Sensorless --- induction motors --- H_infinity --- drives --- vector control --- experimental implementation --- direct torque control --- duty cycle control --- harmonic currents --- six-phase induction motor --- torque ripple --- interior permanent magnet synchronous motor (IPMSM) --- sensorless control --- adaptive algorithm --- super-twisting sliding mode observer (STO) --- phase-locked loop (PLL) --- permanent-magnet vernier machine --- in-wheel direct-drive --- outer rotor --- overhang --- soft magnetic composite --- reaction sphere --- spherical motor --- structural design --- torque density optimization --- support vector machines --- finite element method --- induction motor --- smart-sensor --- stray flux --- time-frequency transforms --- wavelet entropy --- harmonic modeling method --- magnetic-geared machine --- hybrid electric vehicle --- magnetic field --- electromagnetic performance --- analytical modeling --- brushless DC motor --- commutation torque ripple --- back electromotive force --- multiphase machines --- fault-tolerance --- dual-channel --- brushless direct current motor with permanent magnet (BLDCM) --- switched reluctance motor (SRM) --- active flux --- stator flux observation --- super-twisting sliding-mode stator flux observer (STSMFO) --- deep-bar effect --- mathematical model --- estimation --- motor drives --- direct torque control (DTC) --- permanent magnet synchronous motor (PMSM) --- maximum torque per ampere (MTPA) operation --- DTC with space-vector modulation (DTC-SVM) --- AFPMSM --- analytical algorithm --- vibration noise --- temperature field analysis --- SynRM --- irreversible demagnetization --- PMa-SynRM --- flux intensifying --- deadbeat current control --- PMSM servo motor drives --- auto tuning --- parameter identification --- periodic controller --- surface permanent magnet synchronous motor --- fault-tolerant system --- multi-channel --- quad-channel operation (QCO) --- triple-channel operation (TCO) --- dual-channel operation (DCO) --- single-channel operation (SCO) --- permanent magnet brushless direct current motor --- BLDCM --- double Fourier analysis --- current spectrum decomposition --- eddy current loss --- permanent magnet machine design --- cogging torque --- permanent magnet machine --- uneven magnets --- IPMSM --- uncertainty and disturbance estimator --- flux-weakening control --- double-cage induction motor --- improvement of motor reliability --- cage winding constructions --- direct start-up --- coupled electromagnetic-thermal model --- outer rotor inductor --- electric vehicle --- high-efficiency --- eco-friendly --- automation --- finite element analysis --- PMSM --- DOE --- optimization --- metamodeling --- adaptive robust control --- energy feedback --- particle swarm optimization --- torque optimal distribution method --- multiphase electric drives --- six-phase machines --- finite control set model predictive control --- predictive current control --- predictive torque control --- high frequency square-wave voltage --- interior permanent-magnet synchronous motor (IPMSM) --- magnetic polarity detection --- rotor position estimation --- characteristics analysis --- fault detection --- stator fault --- rotor fault --- torque estimation --- finite control set mode predictive control --- duty cycle --- maximum torque per ampere --- permanent magnet synchronous motor --- acoustics --- boundary element method --- electric machines --- magneto-mechanics --- modeling --- noise --- vibro-acoustics --- efficiency --- line-start synchronous reluctance motor --- permanent magnet --- power factor --- multiphase --- induction --- motor --- space harmonics --- time harmonics --- injection --- high-speed permanent synchronous motor --- magnetic field characteristic --- iron loss --- stator structure --- online parameters estimation --- permanent magnet synchronous machines --- synchronous reluctance machines --- high frequency signal injection --- CMV --- modulation techniques --- PWM --- railway traction drives --- induction motor drives --- high-speed drives --- overmodulation and six-step operation --- electrical motors --- sot filling factor --- optimization algorithm --- windings --- magnetic wire --- filling factor optimization --- electric drive --- transmission shaft --- electric transmission line --- electrical and mechanical similarities --- kinematic structure --- equivalent circuit --- mathematical modelling --- failure --- detection --- diagnosis --- BLDC --- brushless --- systematic review --- rotor position --- BLDC motor --- sensor misalignment --- sizing methodology --- electrical machines --- thermal model --- electromagnetic model --- switched reluctance motor --- torque sharing functions --- firing angle modulation --- autonomous systems --- brushless synchronous generator --- electric power generation --- high speed generator --- high resistance connection --- fault-detection --- fault-tolerant control --- six-phase permanent magnet synchronous machines --- field-oriented control

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It is difficult to imagine a modern society without rotating electric machines. Their use has been increasing not only in the traditional fields of application but also in more contemporary fields, including renewable energy conversion systems, electric aircraft, aerospace, electric vehicles, unmanned propulsion systems, robotics, etc. This has contributed to advances in the materials, design methodologies, modeling tools, and manufacturing processes of current electric machines, which are characterized by high compactness, low weight, high power density, high torque density, and high reliability. On the other hand, the growing use of electric machines and drives in more critical applications has pushed forward the research in the area of condition monitoring and fault tolerance, leading to the development of more reliable diagnostic techniques and more fault-tolerant machines. This book presents and disseminates the most recent advances related to the theory, design, modeling, application, control, and condition monitoring of all types of rotating electric machines.

core saturation --- cross-coupling inductance --- wound synchronous machines (WSM) --- signal injection --- position sensorless --- high-frequency model --- hybrid permanent magnet --- interior permanent magnet (IPM) machine --- magnet-axis-shifted --- reluctance torque --- Sensorless --- induction motors --- H_infinity --- drives --- vector control --- experimental implementation --- direct torque control --- duty cycle control --- harmonic currents --- six-phase induction motor --- torque ripple --- interior permanent magnet synchronous motor (IPMSM) --- sensorless control --- adaptive algorithm --- super-twisting sliding mode observer (STO) --- phase-locked loop (PLL) --- permanent-magnet vernier machine --- in-wheel direct-drive --- outer rotor --- overhang --- soft magnetic composite --- reaction sphere --- spherical motor --- structural design --- torque density optimization --- support vector machines --- finite element method --- induction motor --- smart-sensor --- stray flux --- time-frequency transforms --- wavelet entropy --- harmonic modeling method --- magnetic-geared machine --- hybrid electric vehicle --- magnetic field --- electromagnetic performance --- analytical modeling --- brushless DC motor --- commutation torque ripple --- back electromotive force --- multiphase machines --- fault-tolerance --- dual-channel --- brushless direct current motor with permanent magnet (BLDCM) --- switched reluctance motor (SRM) --- active flux --- stator flux observation --- super-twisting sliding-mode stator flux observer (STSMFO) --- deep-bar effect --- mathematical model --- estimation --- motor drives --- direct torque control (DTC) --- permanent magnet synchronous motor (PMSM) --- maximum torque per ampere (MTPA) operation --- DTC with space-vector modulation (DTC-SVM) --- AFPMSM --- analytical algorithm --- vibration noise --- temperature field analysis --- SynRM --- irreversible demagnetization --- PMa-SynRM --- flux intensifying --- deadbeat current control --- PMSM servo motor drives --- auto tuning --- parameter identification --- periodic controller --- surface permanent magnet synchronous motor --- fault-tolerant system --- multi-channel --- quad-channel operation (QCO) --- triple-channel operation (TCO) --- dual-channel operation (DCO) --- single-channel operation (SCO) --- permanent magnet brushless direct current motor --- BLDCM --- double Fourier analysis --- current spectrum decomposition --- eddy current loss --- permanent magnet machine design --- cogging torque --- permanent magnet machine --- uneven magnets --- IPMSM --- uncertainty and disturbance estimator --- flux-weakening control --- double-cage induction motor --- improvement of motor reliability --- cage winding constructions --- direct start-up --- coupled electromagnetic-thermal model --- outer rotor inductor --- electric vehicle --- high-efficiency --- eco-friendly --- automation --- finite element analysis --- PMSM --- DOE --- optimization --- metamodeling --- adaptive robust control --- energy feedback --- particle swarm optimization --- torque optimal distribution method --- multiphase electric drives --- six-phase machines --- finite control set model predictive control --- predictive current control --- predictive torque control --- high frequency square-wave voltage --- interior permanent-magnet synchronous motor (IPMSM) --- magnetic polarity detection --- rotor position estimation --- characteristics analysis --- fault detection --- stator fault --- rotor fault --- torque estimation --- finite control set mode predictive control --- duty cycle --- maximum torque per ampere --- permanent magnet synchronous motor --- acoustics --- boundary element method --- electric machines --- magneto-mechanics --- modeling --- noise --- vibro-acoustics --- efficiency --- line-start synchronous reluctance motor --- permanent magnet --- power factor --- multiphase --- induction --- motor --- space harmonics --- time harmonics --- injection --- high-speed permanent synchronous motor --- magnetic field characteristic --- iron loss --- stator structure --- online parameters estimation --- permanent magnet synchronous machines --- synchronous reluctance machines --- high frequency signal injection --- CMV --- modulation techniques --- PWM --- railway traction drives --- induction motor drives --- high-speed drives --- overmodulation and six-step operation --- electrical motors --- sot filling factor --- optimization algorithm --- windings --- magnetic wire --- filling factor optimization --- electric drive --- transmission shaft --- electric transmission line --- electrical and mechanical similarities --- kinematic structure --- equivalent circuit --- mathematical modelling --- failure --- detection --- diagnosis --- BLDC --- brushless --- systematic review --- rotor position --- BLDC motor --- sensor misalignment --- sizing methodology --- electrical machines --- thermal model --- electromagnetic model --- switched reluctance motor --- torque sharing functions --- firing angle modulation --- autonomous systems --- brushless synchronous generator --- electric power generation --- high speed generator --- high resistance connection --- fault-detection --- fault-tolerant control --- six-phase permanent magnet synchronous machines --- field-oriented control

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• Reference Manager
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It is difficult to imagine a modern society without rotating electric machines. Their use has been increasing not only in the traditional fields of application but also in more contemporary fields, including renewable energy conversion systems, electric aircraft, aerospace, electric vehicles, unmanned propulsion systems, robotics, etc. This has contributed to advances in the materials, design methodologies, modeling tools, and manufacturing processes of current electric machines, which are characterized by high compactness, low weight, high power density, high torque density, and high reliability. On the other hand, the growing use of electric machines and drives in more critical applications has pushed forward the research in the area of condition monitoring and fault tolerance, leading to the development of more reliable diagnostic techniques and more fault-tolerant machines. This book presents and disseminates the most recent advances related to the theory, design, modeling, application, control, and condition monitoring of all types of rotating electric machines.

History of engineering & technology --- core saturation --- cross-coupling inductance --- wound synchronous machines (WSM) --- signal injection --- position sensorless --- high-frequency model --- hybrid permanent magnet --- interior permanent magnet (IPM) machine --- magnet-axis-shifted --- reluctance torque --- Sensorless --- induction motors --- H_infinity --- drives --- vector control --- experimental implementation --- direct torque control --- duty cycle control --- harmonic currents --- six-phase induction motor --- torque ripple --- interior permanent magnet synchronous motor (IPMSM) --- sensorless control --- adaptive algorithm --- super-twisting sliding mode observer (STO) --- phase-locked loop (PLL) --- permanent-magnet vernier machine --- in-wheel direct-drive --- outer rotor --- overhang --- soft magnetic composite --- reaction sphere --- spherical motor --- structural design --- torque density optimization --- support vector machines --- finite element method --- induction motor --- smart-sensor --- stray flux --- time-frequency transforms --- wavelet entropy --- harmonic modeling method --- magnetic-geared machine --- hybrid electric vehicle --- magnetic field --- electromagnetic performance --- analytical modeling --- brushless DC motor --- commutation torque ripple --- back electromotive force --- multiphase machines --- fault-tolerance --- dual-channel --- brushless direct current motor with permanent magnet (BLDCM) --- switched reluctance motor (SRM) --- active flux --- stator flux observation --- super-twisting sliding-mode stator flux observer (STSMFO) --- deep-bar effect --- mathematical model --- estimation --- motor drives --- direct torque control (DTC) --- permanent magnet synchronous motor (PMSM) --- maximum torque per ampere (MTPA) operation --- DTC with space-vector modulation (DTC-SVM) --- AFPMSM --- analytical algorithm --- vibration noise --- temperature field analysis --- SynRM --- irreversible demagnetization --- PMa-SynRM --- flux intensifying --- deadbeat current control --- PMSM servo motor drives --- auto tuning --- parameter identification --- periodic controller --- surface permanent magnet synchronous motor --- fault-tolerant system --- multi-channel --- quad-channel operation (QCO) --- triple-channel operation (TCO) --- dual-channel operation (DCO) --- single-channel operation (SCO) --- permanent magnet brushless direct current motor --- BLDCM --- double Fourier analysis --- current spectrum decomposition --- eddy current loss --- permanent magnet machine design --- cogging torque --- permanent magnet machine --- uneven magnets --- IPMSM --- uncertainty and disturbance estimator --- flux-weakening control --- double-cage induction motor --- improvement of motor reliability --- cage winding constructions --- direct start-up --- coupled electromagnetic-thermal model --- outer rotor inductor --- electric vehicle --- high-efficiency --- eco-friendly --- automation --- finite element analysis --- PMSM --- DOE --- optimization --- metamodeling --- adaptive robust control --- energy feedback --- particle swarm optimization --- torque optimal distribution method --- multiphase electric drives --- six-phase machines --- finite control set model predictive control --- predictive current control --- predictive torque control --- high frequency square-wave voltage --- interior permanent-magnet synchronous motor (IPMSM) --- magnetic polarity detection --- rotor position estimation --- characteristics analysis --- fault detection --- stator fault --- rotor fault --- torque estimation --- finite control set mode predictive control --- duty cycle --- maximum torque per ampere --- permanent magnet synchronous motor --- acoustics --- boundary element method --- electric machines --- magneto-mechanics --- modeling --- noise --- vibro-acoustics --- efficiency --- line-start synchronous reluctance motor --- permanent magnet --- power factor --- multiphase --- induction --- motor --- space harmonics --- time harmonics --- injection --- high-speed permanent synchronous motor --- magnetic field characteristic --- iron loss --- stator structure --- online parameters estimation --- permanent magnet synchronous machines --- synchronous reluctance machines --- high frequency signal injection --- CMV --- modulation techniques --- PWM --- railway traction drives --- induction motor drives --- high-speed drives --- overmodulation and six-step operation --- electrical motors --- sot filling factor --- optimization algorithm --- windings --- magnetic wire --- filling factor optimization --- electric drive --- transmission shaft --- electric transmission line --- electrical and mechanical similarities --- kinematic structure --- equivalent circuit --- mathematical modelling --- failure --- detection --- diagnosis --- BLDC --- brushless --- systematic review --- rotor position --- BLDC motor --- sensor misalignment --- sizing methodology --- electrical machines --- thermal model --- electromagnetic model --- switched reluctance motor --- torque sharing functions --- firing angle modulation --- autonomous systems --- brushless synchronous generator --- electric power generation --- high speed generator --- high resistance connection --- fault-detection --- fault-tolerant control --- six-phase permanent magnet synchronous machines --- field-oriented control