Abstract
A bio-inspired structural health monitoring (SHM) system based on multi-scale Sample Entropy (SampEn) is proposed in this paper. Recently, studies on entropy have shown that the healthy state of human can be evaluated by analyzing the measured electrocardiogram. As similar circumstance is also faced in the field of structural health monitoring, where the vibration signal of the structure can be measured by deployed sensors, a multi-disciplinary research is inspired and conducted. Numerical simulation has verified that the damage location and condition can be detected by the proposed SHM algorithm by processing the ambient vibration signal.
| Original language | English |
|---|---|
| Pages | 834-841 |
| Number of pages | 8 |
| State | Published - Jul 2014 |
| Event | 7th European Workshop on Structural Health Monitoring, EWSHM 2014 - Nantes, France Duration: 8 Jul 2014 → 11 Jul 2014 |
Conference
| Conference | 7th European Workshop on Structural Health Monitoring, EWSHM 2014 |
|---|---|
| Country/Territory | France |
| City | Nantes |
| Period | 8/07/14 → 11/07/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Multi-scale entropy
- Sample entropy
- Structural health monitoring
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