{"id":9269,"date":"2023-01-31T15:09:45","date_gmt":"2023-01-31T13:09:45","guid":{"rendered":"https:\/\/monitorering.ki.dk\/?post_type=glossary&p=9269"},"modified":"2023-01-31T15:09:46","modified_gmt":"2023-01-31T13:09:46","slug":"correlation-analysis","status":"publish","type":"glossary","link":"https:\/\/monitorering.ki.dk\/en\/glossary\/correlation-analysis\/","title":{"rendered":"Correlation analysis"},"content":{"rendered":"

Correlation analysis<\/a> is a statistical method used to examine the relationship between two or more variables. Correlation plots, also known as scatter plots, are used to visualize this relationship by plotting the values of the variables on a graph.<\/p>\n\n\n\n

\"correlation<\/a>
An example of a correlation scatter plot from our cloud platform Senmos.<\/a><\/figcaption><\/figure>\n\n\n\n

In structural health monitoring<\/a>, correlation analysis<\/a> and plotting can be used to identify patterns and relationships between different measurements taken on a structure, such as strains, vibrations, and temperatures. This can help engineers to understand the behavior of the structure and identify any potential issues or changes that may indicate damage or degradation.<\/p>\n\n\n\n

For example, a civil engineer may use correlation analysis<\/a> to examine the relationship between changes in temperature and changes in the structural strains. If they find that the strains increase as the temperature decreases, they may conclude that the structure is more likely to be damaged in colder temperatures. Similarly, if they find that the strains increase as the temperature increases, they may conclude that the structure is more likely to be damaged in warmer temperatures.<\/p>\n\n\n\n

By using correlation analysis<\/a> and plotting, civil engineers can better understand the behavior of a structure and make more informed decisions about how to maintain and repair it.<\/p>\n","protected":false},"excerpt":{"rendered":"

Correlation analysis<\/a> is a statistical method used to examine the relationship between two or more variables. Correlation plots, also known as scatter plots, are used to visualize this relationship by plotting the values of the … <\/p>\n

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