Nonstationary Systems: Theory and Applications
Contributions to the 13th Workshop on Nonstationary Systems and Their Applications, February 3-5, 2020, Grodek nad Dunajcem, Poland
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Beschreibung
This book offers an overview of current and recent methods for the analysis of the nonstationary processes, focusing on cyclostationary systems that are ubiquitous in various application fields. Based on the 13th Workshop on Nonstationary Systems and Their Applications, held on February 3-5, 2020, in Grodek nad Dunajcem, Poland, the book merges theoretical contributions describing new statistical and intelligent methods for analyzing nonstationary processes, and applied works showing how the proposed methods can be implemented in practice and do perform in real-world case studies. A significant part of the book is dedicated to nonstationary systems applications, with a special emphasis on those in condition monitoring.
This book offers an overview of current and recent methods for the analysis of the nonstationary processes, focusing on cyclostationary systems that are ubiquitous in various application fields. Based on the 13th Workshop on Nonstationary Systems and Their Applications, held on February 3-5, 2020, in Grodek nad Dunajcem, Poland, the book merges theoretical contributions describing new statistical and intelligent methods for analyzing nonstationary processes, and applied works showing how the proposed methods can be implemented in practice and do perform in real-world case studies. A significant part of the book is dedicated to nonstationary systems applications, with a special emphasis on those in condition monitoring.
Reports on new algorithms for nonstationary systems analysis Describes applications of nonstationary systems in condition monitoring Covers interdisciplinary research between statistics, signal processing and engineering
Autor*in
Fakher Chaari
Themen in »Nonstationary Systems: Theory and Applications«
Cyclo-Non-Stationary Signals Non-Linear Dynamic Behavior Non-Gaussian Models Nonstationary Models Alternative Dependence Measures Spectral Resampling Machine Learning for Condition Monitoring Vibration Signal Analysis Simulation of Rotors Dynamics Optimization of Vibrating Machines Health monitoring of nonstationary Structures Model-Based Fault Diagnosis Fault Detection with Nonstationary Signals Monte Carlo Simulation Condition Monitoring of Bearings