Browsing by Author "Rodrigues, Miguel Nogueira"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
- Structural health monitoring : a data-driven damage detection approachPublication . Rodrigues, Miguel Nogueira; Silva, Vera Lúcia Miguéis Oliveira eDespite their importance, many Structural Health Monitoring (SHM) systems still rely on human inspection to verify the condition of the structure under analysis. Thus, the present work focus on creating an intelligent system that is able to detect damage automatically. This system is based on a real-life structure and the data collected in both undamaged and damaged states of the structure. Two SHM approaches are proposed. First, explanatory models supported by machine learning algorithms (linear regression, random forest, support vector machines and neural network) are used to predict the values of the physical properties monitored in a regular condition. By comparing the predicted and observed values, a potential abnormal condition of the structure is detected by means of a Hotelling T2 control chart. In the second approach, a time series analysis is adopted, using the cointegration properties of the series to compute the relationships between the variables monitored. These relationships are monitored with a X-bar control chart, where a potential change in the relationship indicate the presence of damage. The two proposed approaches revealed to be capable of damage detection only when there is indeed a damage. More so, after the damage has been induced in the structure, both were able to signal an anomaly before 24 hours have passed. These results support the fact that SHM systems constitute a relevant tool to support the decision-makers in charge of monitoring the condition of the structures.