Field data from experiments where damage has been introduced systematically to a structure are difficult to find yet essential for validation of damage detection algorithms used in structural health monitoring. Such an experiment was recently conducted by Vibration Consulting Engineers in Vienna, Austria and the data were made available to the authors. In this paper, the results from the analysis of the data are summarized and the efficacy of the damage detection algorithms is assessed. It is found that in most cases the algorithms are able to identify the damage. Good results are obtained when damage is quantified and localization can be explained
This paper briefly outlines the rationale for structural health monitoring as an integral component ...
Fault detection is an important component for Structural Health Monitoring (SHM) applications. Herei...
There is a need for reliable structural health monitoring (SHM) systems that can detect local and gl...
The damage identification process provides relevant information about the current state of a structu...
The damage identification process provides relevant information about the current state of a structu...
Over the past 25 years, the use of modal parameters for detecting damage has received considerable a...
This thesis presents a collection of innovative signal processing strategies to detect both location...
This thesis presents a collection of innovative signal processing strategies to detect both location...
Non-destructive vibration based methods can be used as diagnostic tool to identify damage in structu...
Non-destructive vibration based methods can be used as diagnostic tool to identify damage in structu...
Non-destructive vibration based methods can be used as diagnostic tool to identify damage in structu...
Non-destructive vibration based methods can be used as diagnostic tool to identify damage in structu...
Non-destructive vibration based methods can be used as diagnostic tool to identify damage in structu...
The important advances achieved in the modal identification, sensors and structural monitoring of b...
Fault detection is an important component for Structural Health Monitoring (SHM) applications. Herei...
This paper briefly outlines the rationale for structural health monitoring as an integral component ...
Fault detection is an important component for Structural Health Monitoring (SHM) applications. Herei...
There is a need for reliable structural health monitoring (SHM) systems that can detect local and gl...
The damage identification process provides relevant information about the current state of a structu...
The damage identification process provides relevant information about the current state of a structu...
Over the past 25 years, the use of modal parameters for detecting damage has received considerable a...
This thesis presents a collection of innovative signal processing strategies to detect both location...
This thesis presents a collection of innovative signal processing strategies to detect both location...
Non-destructive vibration based methods can be used as diagnostic tool to identify damage in structu...
Non-destructive vibration based methods can be used as diagnostic tool to identify damage in structu...
Non-destructive vibration based methods can be used as diagnostic tool to identify damage in structu...
Non-destructive vibration based methods can be used as diagnostic tool to identify damage in structu...
Non-destructive vibration based methods can be used as diagnostic tool to identify damage in structu...
The important advances achieved in the modal identification, sensors and structural monitoring of b...
Fault detection is an important component for Structural Health Monitoring (SHM) applications. Herei...
This paper briefly outlines the rationale for structural health monitoring as an integral component ...
Fault detection is an important component for Structural Health Monitoring (SHM) applications. Herei...
There is a need for reliable structural health monitoring (SHM) systems that can detect local and gl...