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This work has studied the crosswind stability of vehicles under nonstationary wind excitation in various scenarios. Railway vehicles running on curved and straight track with varying vehicle speed are studied. Road vehicles are classified into different categories. For each vehicle class, a corresponding worst-case vehicle model has been built. As the wind excitation on the vehicle is a stochastic process, a risk analysis has to be carried out and failure probabilities are computed and analyzed.
RisikoanalyseCrosswind stability --- Vehicle --- instationär --- Stochastik --- Fahrzeug --- Seitenwindstabilität --- Nonstationary --- Stochastic --- Risk analysis
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Signal processing. --- Cyclostationary waves. --- Cycloergodic waves --- Cyclostationarity in waves --- Periodically correlated waves --- Periodically nonstationary waves --- Periodically stationary waves --- Waves --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication)
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The relative motion between the transmitter and the receiver modifies the nonstationarity properties of the transmitted signal. In particular, the almost-cyclostationarity property exhibited by almost all modulated signals adopted in communications, radar, sonar, and telemetry can be transformed into more general kinds of nonstationarity. A proper statistical characterization of the received signal allows for the design of signal processing algorithms for detection, estimation, and classification that significantly outperform algorithms based on classical descriptions of signals. Generalizations of Cyclostationary Signal Processing addresses these issues and includes the following key features: . Presents the underlying theoretical framework, accompanied by details of their practical application, for the mathematical models of generalized almost-cyclostationary processes and spectrally correlated processes; two classes of signals finding growing importance in areas such as mobile communications, radar and sonar.. Explains second- and higher-order characterization of nonstationary stochastic processes in time and frequency domains.. Discusses continuous- and discrete-time estimators of statistical functions of generalized almost-cyclostationary processes and spectrally correlated processes.. Provides analysis of mean-square consistency and asymptotic Normality of statistical function estimators.. Offers extensive analysis of Doppler channels owing to the relative motion between transmitter and receiver and/or surrounding scatterers.. Performs signal analysis using both the classical stochastic-process approach and the functional approach, where statistical functions are built starting from a single function of time.
Signal processing. --- Spectrum analysis. --- Cyclostationary waves. --- Signal processing --- Spectrum analysis --- Cyclostationary waves --- Cycloergodic waves --- Cyclostationarity in waves --- Periodically correlated waves --- Periodically nonstationary waves --- Periodically stationary waves --- Waves --- Analysis, Spectrum --- Spectra --- Spectrochemical analysis --- Spectrochemistry --- Spectroscopy --- Chemistry, Analytic --- Interferometry --- Optics --- Radiation --- Wave-motion, Theory of --- Absorption spectra --- Light --- Spectroscope --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Qualitative --- Spectrometry --- Analytical chemistry
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Most metallic components and structures are subjected, in service, to random or variable amplitude loadings. There are many examples: vehicles subjected to loadings and vibrations caused by road irregularity and engine, structures exposed to wind, off-shore platforms undergoing wave-loadings, and so on. Just like constant amplitude loadings, random and variable amplitude loadings can make fatigue cracks initiate and propagate, even up to catastrophic failures. Engineers faced with the problem of estimating the structural integrity and the fatigue strength of metallic structures, or their propensity to fracture, usually make use of theoretical, numerical, or experimental approaches. This reprint collects a series of recent scientific contributions aimed at providing an up-to-date overview of approaches and case studies—theoretical, numerical or experimental—on several topics in the field of fracture, fatigue strength, and the structural integrity of metallic components subjected to random or variable amplitude loadings.
Technology: general issues --- History of engineering & technology --- small cracks --- helicopter flight load spectra --- FALSTAFF flight load spectra --- fatigue crack growth --- surface topography --- optical profilometry --- height digital image correlation --- discontinuous displacements --- triaxial displacements --- fracture analysis --- welded joint --- repair welding thermal shock --- XFEM --- welding linear energy --- high-temperature fatigue --- nickel-based superalloy --- investment casting --- metallography --- turbine blade --- fatigue --- testing systems --- random loadings --- servo-hydraulic --- shaker table --- crack growth --- metallic materials --- plasticity --- crack closure --- spectrum loading --- random loading --- fatigue damage --- power spectral density (PSD) --- spectral methods --- lattice structures --- structural dynamic response --- vibration fatigue testing --- fatigue life prediction --- analytical framework --- fatigue crack --- residual strength --- retardation effect --- nonstationary random loadings --- run test --- short-time Fourier transform --- n/a
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This reprint describes the recent challenges in tourism seen from the point of view of data science. Thanks to the use of the most popular Data Science concepts, you can easily recognise trends and patterns in tourism, detect the impact of tourism on the environment, and predict future trends in tourism. This reprint starts by describing how to analyse data related to the past, then it moves on to detecting behaviours in the present, and, finally, it describes some techniques to predict future trends. By the end of the reprint, you will be able to use data science to help tourism businesses make better use of data and improve their decision making and operations..
Research & information: general --- Geography --- green hotel --- corporate social responsibility --- green hotel certification --- Chinese regional tourism --- socioeconomic and environmental drivers --- spatiotemporal influencing factors --- spatiotemporal estimation mapping --- Bayesian STVC model --- spatiotemporal nonstationary regression --- geographical data modeling analysis --- sports tourism --- spatial distribution --- geographic detector --- influencing factors --- China --- A-level scenic spots --- spatiotemporal evolution --- trend analysis --- Geodetector --- tourism economic vulnerability --- obstacle factors --- trend prediction --- major tourist cities --- tourism flow --- cellular signaling data --- social network analysis --- network connection --- node centrality --- communities --- relatedness between attractions --- online tourism reviews --- heterogeneous information network --- embedding --- attraction image --- topic extraction --- AGNES clustering --- tourist attraction clustering --- tourist attraction reachability space model --- space-time deduction --- tour route searching
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This reprint describes the recent challenges in tourism seen from the point of view of data science. Thanks to the use of the most popular Data Science concepts, you can easily recognise trends and patterns in tourism, detect the impact of tourism on the environment, and predict future trends in tourism. This reprint starts by describing how to analyse data related to the past, then it moves on to detecting behaviours in the present, and, finally, it describes some techniques to predict future trends. By the end of the reprint, you will be able to use data science to help tourism businesses make better use of data and improve their decision making and operations..
green hotel --- corporate social responsibility --- green hotel certification --- Chinese regional tourism --- socioeconomic and environmental drivers --- spatiotemporal influencing factors --- spatiotemporal estimation mapping --- Bayesian STVC model --- spatiotemporal nonstationary regression --- geographical data modeling analysis --- sports tourism --- spatial distribution --- geographic detector --- influencing factors --- China --- A-level scenic spots --- spatiotemporal evolution --- trend analysis --- Geodetector --- tourism economic vulnerability --- obstacle factors --- trend prediction --- major tourist cities --- tourism flow --- cellular signaling data --- social network analysis --- network connection --- node centrality --- communities --- relatedness between attractions --- online tourism reviews --- heterogeneous information network --- embedding --- attraction image --- topic extraction --- AGNES clustering --- tourist attraction clustering --- tourist attraction reachability space model --- space-time deduction --- tour route searching
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Most metallic components and structures are subjected, in service, to random or variable amplitude loadings. There are many examples: vehicles subjected to loadings and vibrations caused by road irregularity and engine, structures exposed to wind, off-shore platforms undergoing wave-loadings, and so on. Just like constant amplitude loadings, random and variable amplitude loadings can make fatigue cracks initiate and propagate, even up to catastrophic failures. Engineers faced with the problem of estimating the structural integrity and the fatigue strength of metallic structures, or their propensity to fracture, usually make use of theoretical, numerical, or experimental approaches. This reprint collects a series of recent scientific contributions aimed at providing an up-to-date overview of approaches and case studies—theoretical, numerical or experimental—on several topics in the field of fracture, fatigue strength, and the structural integrity of metallic components subjected to random or variable amplitude loadings.
small cracks --- helicopter flight load spectra --- FALSTAFF flight load spectra --- fatigue crack growth --- surface topography --- optical profilometry --- height digital image correlation --- discontinuous displacements --- triaxial displacements --- fracture analysis --- welded joint --- repair welding thermal shock --- XFEM --- welding linear energy --- high-temperature fatigue --- nickel-based superalloy --- investment casting --- metallography --- turbine blade --- fatigue --- testing systems --- random loadings --- servo-hydraulic --- shaker table --- crack growth --- metallic materials --- plasticity --- crack closure --- spectrum loading --- random loading --- fatigue damage --- power spectral density (PSD) --- spectral methods --- lattice structures --- structural dynamic response --- vibration fatigue testing --- fatigue life prediction --- analytical framework --- fatigue crack --- residual strength --- retardation effect --- nonstationary random loadings --- run test --- short-time Fourier transform --- n/a
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Most metallic components and structures are subjected, in service, to random or variable amplitude loadings. There are many examples: vehicles subjected to loadings and vibrations caused by road irregularity and engine, structures exposed to wind, off-shore platforms undergoing wave-loadings, and so on. Just like constant amplitude loadings, random and variable amplitude loadings can make fatigue cracks initiate and propagate, even up to catastrophic failures. Engineers faced with the problem of estimating the structural integrity and the fatigue strength of metallic structures, or their propensity to fracture, usually make use of theoretical, numerical, or experimental approaches. This reprint collects a series of recent scientific contributions aimed at providing an up-to-date overview of approaches and case studies—theoretical, numerical or experimental—on several topics in the field of fracture, fatigue strength, and the structural integrity of metallic components subjected to random or variable amplitude loadings.
Technology: general issues --- History of engineering & technology --- small cracks --- helicopter flight load spectra --- FALSTAFF flight load spectra --- fatigue crack growth --- surface topography --- optical profilometry --- height digital image correlation --- discontinuous displacements --- triaxial displacements --- fracture analysis --- welded joint --- repair welding thermal shock --- XFEM --- welding linear energy --- high-temperature fatigue --- nickel-based superalloy --- investment casting --- metallography --- turbine blade --- fatigue --- testing systems --- random loadings --- servo-hydraulic --- shaker table --- crack growth --- metallic materials --- plasticity --- crack closure --- spectrum loading --- random loading --- fatigue damage --- power spectral density (PSD) --- spectral methods --- lattice structures --- structural dynamic response --- vibration fatigue testing --- fatigue life prediction --- analytical framework --- fatigue crack --- residual strength --- retardation effect --- nonstationary random loadings --- run test --- short-time Fourier transform
Choose an application
This reprint describes the recent challenges in tourism seen from the point of view of data science. Thanks to the use of the most popular Data Science concepts, you can easily recognise trends and patterns in tourism, detect the impact of tourism on the environment, and predict future trends in tourism. This reprint starts by describing how to analyse data related to the past, then it moves on to detecting behaviours in the present, and, finally, it describes some techniques to predict future trends. By the end of the reprint, you will be able to use data science to help tourism businesses make better use of data and improve their decision making and operations..
Research & information: general --- Geography --- green hotel --- corporate social responsibility --- green hotel certification --- Chinese regional tourism --- socioeconomic and environmental drivers --- spatiotemporal influencing factors --- spatiotemporal estimation mapping --- Bayesian STVC model --- spatiotemporal nonstationary regression --- geographical data modeling analysis --- sports tourism --- spatial distribution --- geographic detector --- influencing factors --- China --- A-level scenic spots --- spatiotemporal evolution --- trend analysis --- Geodetector --- tourism economic vulnerability --- obstacle factors --- trend prediction --- major tourist cities --- tourism flow --- cellular signaling data --- social network analysis --- network connection --- node centrality --- communities --- relatedness between attractions --- online tourism reviews --- heterogeneous information network --- embedding --- attraction image --- topic extraction --- AGNES clustering --- tourist attraction clustering --- tourist attraction reachability space model --- space-time deduction --- tour route searching
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This book reports on the latest advances in the analysis of non-stationary signals, with special emphasis on cyclostationary systems. It includes cutting-edge contributions presented at the 7th Workshop on “Cyclostationary Systems and Their Applications,” which was held in Gródek nad Dunajcem, Poland, in February 2014. The book covers both the theoretical properties of cyclostationary models and processes, including estimation problems for systems exhibiting cyclostationary properties, and several applications of cyclostationary systems, including case studies on gears and bearings, and methods for implementing cyclostationary processes for damage assessment in condition-based maintenance operations. It addresses the needs of students, researchers and professionals in the broad fields of engineering, mathematics and physics, with a special focus on those studying or working with nonstationary and/or cyclostationary processes. .
Engineering. --- Machinery and Machine Elements. --- Vibration, Dynamical Systems, Control. --- Signal, Image and Speech Processing. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Vibration. --- Ingénierie --- Vibration --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Civil Engineering --- Signal processing --- Cyclostationary waves --- Digital techniques --- Mathematics --- Cycloergodic waves --- Cyclostationarity in waves --- Periodically correlated waves --- Periodically nonstationary waves --- Periodically stationary waves --- Processing, Signal --- Statistics. --- Dynamical systems. --- Dynamics. --- Machinery. --- Waves --- Information measurement --- Signal theory (Telecommunication) --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Cycles --- Mechanics --- Sound --- Construction --- Industrial arts --- Technology --- Signal processing. --- Image processing. --- Speech processing systems. --- Statistics . --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Machinery --- Machines --- Manufactures --- Power (Mechanics) --- Mechanical engineering --- Motors --- Power transmission --- Curious devices
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