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Condition monitoring of machinery is one of the most important aspects of many modern industries. With the rapid advancement of science and technology, machines are becoming increasingly complex. Moreover, an exponential increase of demand is leading an increasing requirement of machine output. As a result, in most modern industries, machines have to work for 24 hours a day. All these factors are leading to the deterioration of machine health in a higher rate than before. Breakdown of the key components of a machine such as bearing, gearbox or rollers can cause a catastrophic effect both in terms of financial and human costs. In this perspective, it is important not only to detect the fault at its earliest point of inception but necessary to design the overall monitoring process, such as fault classification, fault severity assessment and remaining useful life (RUL) prediction for better planning of the maintenance schedule. Information theory is one of the pioneer contributions of modern science that has evolved into various forms and algorithms over time. Due to its ability to address the non-linearity and non-stationarity of machine health deterioration, it has become a popular choice among researchers. Information theory is an effective technique for extracting features of machines under different health conditions. In this context, this book discusses the potential applications, research results and latest developments of information theory-based condition monitoring of machineries.

fault detection --- deep learning --- transfer learning --- anomaly detection --- bearing --- wind turbines --- misalignment --- fault diagnosis --- information fusion --- improved artificial bee colony algorithm --- LSSVM --- D–S evidence theory --- optimal bandwidth --- kernel density estimation --- JS divergence --- domain adaptation --- partial transfer --- subdomain --- rotating machinery --- gearbox --- signal interception --- peak extraction --- cubic spline interpolation envelope --- combined fault diagnosis --- empirical wavelet transform --- grey wolf optimizer --- low pass FIR filter --- support vector machine --- satellite momentum wheel --- Huffman-multi-scale entropy (HMSE) --- support vector machine (SVM) --- adaptive particle swarm optimization (APSO) --- rail surface defect detection --- machine vision --- YOLOv4 --- MobileNetV3 --- multi-source heterogeneous fusion --- n/a --- D-S evidence theory

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During the past few decades, information technologies have been evolving at a tremendous rate, causing profound changes to our world and to our ways of living. Emerging applications have opened u[ new routes and set new trends for antenna sensors. With the advent of the Internet of Things (IoT), the adaptation of antenna technologies for sensor and sensing applications has become more important. Now, the antennas must be reconfigurable, flexible, low profile, and low-cost, for applications from airborne and vehicles, to machine-to-machine, IoT, 5G, etc. This reprint aims to introduce and treat a series of advanced and emerging topics in the field of antenna sensors.

3D printing --- additive manufacturing --- Radio Frequency IDentification (RFID), chipless RFID --- mounted on metal --- unmanned aerial vehicle --- phased array --- frequency reconfiguration --- beam steering --- antioxidation --- frequency-reconfiguration --- liquid metal --- temperature sensor --- antenna sensor --- thermal expansion --- electrolyte-free --- industrial WSN --- ISA100.11a model --- ns-3 --- WSN --- UHF antennas --- ultra wideband antennas --- conformal antennas --- radio frequency identification --- elliptical dipole antenna --- EM/circuit co-simulation --- low-cost --- low-power --- power gating --- RF oscillator --- RTLS --- ultrawide band antennas --- biopotential sensing --- Fabry-Perot resonator --- antenna --- superstrate --- metamaterials --- passive sensing --- sensor array --- sparse array --- nonuniform array --- planar array --- random array --- low discrepancy sequence --- triband antenna --- wireless sensors --- planar patch antenna --- mobile applications --- DCS --- WLAN --- WiMAX --- circular polarization --- flexible --- polymer --- transparent --- wearable --- litz wire --- lateral misalignment --- magnetic field distribution --- mutual inductance --- Neumann integral formula --- planar spiral coil --- Internet of Things (IoT) --- wireless sensor network (WSN) --- switched-beam antenna --- electronically steerable parasitic array radiator (ESPAR) antenna --- received signal strength (RSS) --- direction-of-arrival (DoA) estimation

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It is now recognized that workplace aspects (scheduling, shift work, physically demanding work, chemical exposure) not only increase the risk of injury and illness, but also impact health behaviors (smoking, physical activity) and health outcomes (sleep disorders and fatigue, obesity, musculoskeletal disorders). In turn, ill health and chronic conditions can affect performance at work, increasing risk for injury, absenteeism, and reduced productivity. In the past few decades, programs that expand the traditional focus of occupational safety and health to consider nontraditional work-related sources of health and well-being have been shown to be more effective than programs that separately address these issues. This Total Worker Health approach has been recognized by the National Institute for Occupational Safety and Health (NIOSH) as a method for protecting the safety and health of workers, while also advancing the overall well-being of these workers by addressing work conditions. This compendium presents work from an international collection of scholars exploring the relationship between workplace factors and worker safety, health, and well-being. It provides guidance for improving the organization and design of work environments, innovative strategies for promoting worker well-being, and novel methods for exposing underlying occupational causes of chronic disease.

workplace bullying --- quality of life --- occupational health --- work-to-family conflict --- Korean workplaces --- organizational intervention --- health promotion --- injury prevention --- musculoskeletal --- ergonomics --- mixed-methods study --- construction industry --- safety management --- health risk behaviors --- workplace safety --- safety leadership --- health promoting leadership --- safety programs --- health protection --- leadership --- qualitative study --- Perceived Occupational Health (POH) --- Job Demands-Control-Social Support (JD-R) model --- professional accountants --- work organization --- dirty work --- moral leadership --- taint normalization --- management consulting --- burnout --- psychometric properties --- nursing --- workforce demographics --- home care workers --- workplace --- occupational --- safety --- health --- well-being --- dissemination --- cognitive demands --- employee well-being --- working conditions --- job satisfaction --- wellbeing --- wellbeing misalignment --- Millennials --- work stress --- productivity --- impairment cost --- stress management --- employee characteristics --- workplace health promotion --- health and safety --- cardiovascular disease --- work environment --- social capital --- trust --- Total Worker Health® --- health behaviors --- job stress --- occupational safety and health --- worker well-being --- turnover --- employment duration --- occupational injury --- manufacturing --- newly-hired workers --- occupational wellbeing --- performance --- happy-productive worker --- total worker health --- breastfeeding --- industry --- workplace accommodations --- work culture --- work policy --- occupational health surveillance --- young workers --- training --- MTurk --- likeability --- behavior change --- Total Worker Health --- participatory methods --- program implementation --- organizational readiness --- process evaluation --- logic model --- workplace health management --- occupational health and safety --- company reintegration management --- return to work --- cross-sectional survey --- Germany --- adolescent --- hypertension --- blood pressure --- Hispanic --- work --- farmworker --- integration --- participatory workplace program --- process fidelity --- program impact --- sustainability --- workplace health --- wellness --- governance --- planning --- barriers --- survey --- ACA --- precarious work --- action learning --- technical assistance --- community-university partnership --- policy, systems, and environmental (PSE) change

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Power electronics technology is still an emerging technology, and it has found its way into many applications, from renewable energy generation (i.e., wind power and solar power) to electrical vehicles (EVs), biomedical devices, and small appliances, such as laptop chargers. In the near future, electrical energy will be provided and handled by power electronics and consumed through power electronics; this not only will intensify the role of power electronics technology in power conversion processes, but also implies that power systems are undergoing a paradigm shift, from centralized distribution to distributed generation. Today, more than 1000 GW of renewable energy generation sources (photovoltaic (PV) and wind) have been installed, all of which are handled by power electronics technology. The main aim of this book is to highlight and address recent breakthroughs in the range of emerging applications in power electronics and in harmonic and electromagnetic interference (EMI) issues at device and system levels as discussed in ‎robust and reliable power electronics technologies, including fault prognosis and diagnosis technique stability of grid-connected converters and ‎smart control of power electronics in devices, microgrids, and at system levels.

Q-factor --- lithium-ion power battery pack --- electromagnetic field (EMF) --- expert systems --- total harmonic distortion (THD) --- current-fed inverter --- rotor design --- class-D amplifier --- LCL-S topology --- current switching ripple --- system in package --- energy storage modelling --- smart micro-grid --- embedded systems --- equivalent inductance --- SHIL --- permanent magnet --- static var generator (SVG) --- permanent magnet synchronous motor (PMSM) --- control strategy and algorithm --- digital control --- zero-voltage switching (ZVS) --- SOC estimator --- electric power --- optimal design --- electromagnetic field interference (EMI) --- line frequency instability --- analog phase control --- five-phase permanent magnet synchronous machine --- distribution generation --- leakage inductance --- adjacent two-phase open circuit fault (A2-Ph) --- chaotic PWM --- electric vehicles --- CMOS chaotic circuit --- series active filter --- cascaded topology --- total demand distortion --- efficiency motor --- triangular ramp generator --- 4T analog MOS control --- inductive coupling --- induction machines --- nanocrystalline core --- semi-active bridge --- multi-level control --- simulation models --- voltage source inverters (VSI) --- battery management system BMS --- voltage source converter --- current control loops --- droop control --- particle swarm optimization --- variable control gain --- state of charge SoC --- extended Kalman filter --- transient control --- multi-objective optimization --- composite equalizer --- converter --- DHIL --- five-leg voltage source inverter --- axial flux machines --- bifurcation --- active receivers --- field programmable gate array --- Nyquist stability analysis --- electric vehicle --- static compensator --- stability --- common-mode inductor --- DC–DC converters --- support vector machines --- electromagnetic compatibility --- real-time simulation --- passive equalization --- matrix converters --- wireless power transfer --- digital phase control --- compensation topology --- volt-per-hertz control (scalar control) --- switching losses --- voltage control --- hybrid converter --- bidirectional converter --- coupling factor --- selective harmonic elimination method --- power electronics --- soft switching --- optimization design --- multilevel inverter --- five-phase machine --- phase-shift control --- lithium-ion battery --- voltage boost --- VPI active damping control --- parameter identification --- electrical engineering communications --- current control --- DC–DC conversion --- battery management system --- GaN cascode --- single-switch --- high-frequency modeling --- synchronous motor --- power quality --- water purification --- power factor correction (PFC) --- composite active vectors modulation (CVM) --- digital signal controller --- line start --- power density --- hardware in loop --- n/a --- fault diagnosis --- multi-level converter (MLC) --- induction motor --- dual three-phase (DTP) permanent magnet synchronous motors (PMSMs) --- neural networks --- electromagnetic interference filter --- battery chargers --- power converter --- harmonics --- multiphase space vector modulation --- torque ripple --- power factor correction --- electrical drives --- modular multilevel converter (MMC) --- active power filter --- double layer capacitor (DLC) models --- PMSG --- response time --- resonator structure --- floating-point --- effect factors --- DC-link voltage control --- sliding mode control --- phasor model technique --- wireless power transfer (WPT) --- slim DC-link drive --- fault-tolerant control --- lithium-ion batteries --- DC-AC power converters --- conducting angle determination (CAD) techniques --- variable speed pumped storage system --- impedance-based model --- one cycle control --- renewable energy sources --- series-series compensation --- cogging torque --- active rectifiers --- three-level boost converter (TLBC) --- DC-link cascade H-bridge (DCLCHB) inverter --- battery energy storage systems --- filter --- power management system --- improved extended Kalman filter --- dead-time compensation --- disturbance observer --- reference phase calibration --- frequency locking --- space vector pulse width modulation (SVPWM) --- predictive controllers --- nine switch converter --- transmission line --- spread-spectrum technique --- energy storage --- electromagnetic interference --- renewable energy resources control --- harmonic linearization --- misalignment --- plug-in hybrid electric vehicles --- high level programing --- nearest level modulation (NLM) --- magnetic equivalent circuit --- EMI filter --- permanent-magnet machines --- real-time emulation --- switched capacitor --- back EMF --- fixed-point --- HF-link MPPT converter --- condition monitoring --- WPT standards --- switching frequency --- switching frequency modelling --- high frequency switching power supply --- field-programmable gate array --- three-phase bridgeless rectifier --- ice melting --- AC–DC power converters --- hybrid power filter --- PSpice --- microgrid control --- total harmonic distortion --- grid-connected inverter --- dynamic PV model --- fuzzy --- boost converter --- SiC PV Supply --- voltage doubling --- nonlinear control --- distributed control --- power system operation and control --- one phase open circuit fault (1-Ph) --- direct torque control (DTC) --- battery modeling --- non-linear phenomena --- frequency-domain analysis --- advanced controllers --- vector control --- fixed-frequency double integral sliding-mode (FFDISM) --- power converters --- modulation index --- DC-DC buck converter --- small signal stability analysis --- active equalization --- voltage source inverter --- hardware-in-the-loop --- current source --- synchronization --- grid-connected VSI --- synchronous generator --- fault tolerant control --- DC-DC converters --- DC-DC conversion --- AC-DC power converters

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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