A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Structural health monitoring by time series analysis and statistical distance measures
This book conducts effective research on data-driven Structural Health Monitoring (SHM), and accordingly presents many novel feature extraction methods by time series analysis and signal processing, to extract reliable damage sensitive features from vibration responses. In this regard, some limitations of time series modeling are dealt with. For decision-making, innovative distance-based novelty detection techniques are presented to detect, locate, and quantify different damage scenarios. The performance of the presented methods is demonstrated via laboratory and full-scale structures along with several comparative studies. The main target audience of the book includes scholars, graduate students working on SHM via statistical pattern recognition in terms of feature extraction and classification for damage diagnosis under environmental and operational variations; it would also be beneficial for practicing engineers whose work involves these topics
Structural health monitoring by time series analysis and statistical distance measures
This book conducts effective research on data-driven Structural Health Monitoring (SHM), and accordingly presents many novel feature extraction methods by time series analysis and signal processing, to extract reliable damage sensitive features from vibration responses. In this regard, some limitations of time series modeling are dealt with. For decision-making, innovative distance-based novelty detection techniques are presented to detect, locate, and quantify different damage scenarios. The performance of the presented methods is demonstrated via laboratory and full-scale structures along with several comparative studies. The main target audience of the book includes scholars, graduate students working on SHM via statistical pattern recognition in terms of feature extraction and classification for damage diagnosis under environmental and operational variations; it would also be beneficial for practicing engineers whose work involves these topics
Structural health monitoring by time series analysis and statistical distance measures
Entezami, Alireza (author)
2021
xii, 136 Seiten
Illustrationen, Diagramme
Literaturangaben
Book
English
Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures
| UB Braunschweig | 2021
| British Library Conference Proceedings | 2003
Output-Only Statistical Time Series Methods for Structural Health Monitoring: A Comparative Study
| British Library Conference Proceedings | 2014
Statistical Decision-Making by Distance Measures
| Springer Verlag | 2021
Structural Health Monitoring Using Statistical Process Control
| British Library Online Contents | 2000