Buch, Englisch, 186 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 3051 g
Buch, Englisch, 186 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 3051 g
Reihe: Lecture Notes in Mechanical Engineering
ISBN: 978-3-319-04186-5
Verlag: Springer International Publishing
In the last decade the research in signal analysis was dominated by models that encompass nonstationarity as an important feature. This book presents the results of a workshop held in Grodek—Poland in February 2013 which was dedicated to the investigation of cyclostationary signals. Its main objective is to highlight the strong interactions between theory and applications of cyclostationary signals with the use of modern statistical tools.
An important application of cyclostationary signals is the analysis of mechanical signals generated by a vibrating mechanism. Cyclostationary models are very important to perform basic operations on signals in both time and frequency domains. One of the fundamental problems in diagnosis of rotating machine is the identification of significant modulating frequencies that contribute to the cyclostationary nature of the signals. The book shows that there are modern tools available for analyzing cyclostationary signals without the assumption of gaussianity. Those methods are based on the ideas of bootstrap, subsampling and Fraction-of-time (FOT) models. The book is organised in two parts. The first part will be dedicated to pure theory on cyclostationarity. Applications are presented in the second part including several mechanical systems such as bearings, gears, with or without damages.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Statik, Dynamik, Kinetik, Kinematik
- Mathematik | Informatik Mathematik Stochastik Stochastische Prozesse
Weitere Infos & Material
CHAPTER 1 : Theory of Cyclostationarity
.-
CHAPTER 2 : Applications of Cyclostationarity.
