| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910254172403321 |
|
|
Titolo |
Cyclostationarity: Theory and Methods III : Contributions to the 9th Workshop on Cyclostationary Systems and Their Applications, Grodek, Poland, 2016 / / edited by Fakher Chaari, Jacek Leskow, Antonio Napolitano, Radoslaw Zimroz, Agnieszka Wylomanska |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
|
|
|
|
|
|
|
|
|
Edizione |
[1st ed. 2017.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (VIII, 257 p. 115 illus., 97 illus. in color.) |
|
|
|
|
|
|
Collana |
|
Applied Condition Monitoring, , 2363-698X ; ; 6 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Machinery |
Vibration |
Dynamical systems |
Dynamics |
Signal processing |
Image processing |
Speech processing systems |
Mathematical models |
Quality control |
Reliability |
Industrial safety |
Machinery and Machine Elements |
Vibration, Dynamical Systems, Control |
Signal, Image and Speech Processing |
Mathematical Modeling and Industrial Mathematics |
Quality Control, Reliability, Safety and Risk |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references at the end of each chapters. |
|
|
|
|
|
|
Nota di contenuto |
|
From the content: Weak Dependence: An Introduction Through Asymmetric ARCH Models -- Subsampling for Non‐Stationary Time Series With Long Memory and Heavy Tails Using Weak Dependence Condition -- Change‐Point Problem in the Fraction of Time Approach. |
|
|
|
|
|
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
This book gathers contributions presented at the 9th Workshop on Cyclostationary Systems and Their Applications, held in Gródek nad Dunajcem, Poland in February 2016. It includes both theory-oriented and practice-oriented chapters. The former focus on heavy-tailed time series and processes, PAR models, rational spectra for PARMA processes, covariance invariant analysis, change point problems, and subsampling for time series, as well as the fraction-of-time approach, GARMA models and weak dependence. In turn, the latter report on case studies of various mechanical systems, and on stochastic and statistical methods, especially in the context of damage detection. The book provides students, researchers and professionals with a timely guide to cyclostationary systems, nonstationary processes and relevant engineering applications. |
|
|
|
|
|
|
|
| |