Overbey, L. and Todd, M.(2007)Analysis oflocal state space modelsforfeature extraction in structural health monitoring. Structural Health Monitoring: An International Journal, 6(2), 145– 172. 45.Overbey,L., Olson, C.and Todd, ...
Written by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM.
This book is organized around the various sensing techniques used to achieve structural health monitoring.
... Machine. learning: approaches. to. predicting. reliability. and. developing. maintenance. strategies. Subash Singh1, a *, B ... complex systems where the relationships between components are well defined with historical data and predictable ...
Structural Health Monitoring: Current State and Future Trends, edited by Professor Alessandro Pegoretti, a scholar from the University of Trento in Italy, introduces the reader to recent developments involved in health monitoring of ...
This book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for ...
This book is designed to provide readers with a clear idea of all the challenges that need to be tackled before an SHM system can be implemented in real structures.
... (2006). Smart structure dynamics. Mechanical Systems and Signal Processing, 20, 255–281. 4. Loewy, R. G. (1997) ... structural health monitoring using feedback control gains as damage indicators. Structural Health Monitoring, 10, 115–129 ...