Titlebook: Cyclostationarity: Theory and MethodsIII; Contributions to the Fakher Chaari,Jacek Leskow,Agnieszka Wylomanska Conference proceedings 2017

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Physiologische Maße der Angst und Vermeidung multi-technical system in which non-linear phenomena occur. The springing elements in modern cars are coil springs with non-linear characteristics, and the damping elements are telescopic shock absorbers with asymmetrical, strongly non-linear damping characteristics. The scope of the research conta

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Jürgen Margraf,Silvia Schneiderr bearing makes the diagnosis a challenging problem. In this paper a novel signal processing method based on cyclostationary approach is proposed. It is designed in order to indicate and separate source of the signal that could be related to damage of the machine. The vibration signal related to suc

闪光东本

https://doi.org/10.1007/978-3-662-55916-1 vibration based conventional gear fault diagnosis methods like FFT and condition indicators (CI) like rms and kurtosis, fails to differentiate a faulty gear from a healthy one. Under such conditions, cyclic changes are observed in mean and variance of a vibration signal. CI using such statistical p

周兴旺

Weak Dependence: An Introduction Through Asymmetric ARCH Models,[.]. The power of weak dependence is shown up for this very elementary model. This a special case of the infinite memory models in [.]. Asymptotic properties of a moment based parametric estimation do not need any regularity assumption over innovations. In a last section we address a subsequent esti

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Subsampling for Non-stationary Time Series with Long Memory and Heavy Tails Using Weak Dependence Cpendent data the structure of such statistical procedures is often ineffective. In the last three decades we can observe an intensive development the of so-called resampling methods. Using these methods, it is possible to directly approximate the unknown distributions of statistics and estimators. A

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Change-Point Problem in the Fraction-Of-Time Approach,echniques are proposed in order to estimate an unknown (possibly multiple) time ., at which the dynamics of a given process undergoes an abrupt, structural change. Both the 3-D empirical FOT distribution profile calculated upon a moving time window, and differenced quantile process detect the change

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