Diagnosis of fluid leaks in pipelines using dynamic PCA
In this paper, a data-driven system based on PCA is described to detect and quantify fluid
leaks in an experimental pipeline. A dynamic PCA implementation (DPCA) was used to
capture the process dynamics because the system variables are time-correlated. To detect
leaks online, the Hotelling's T2 statistic and the squared prediction error (SPE) were used as
residuals, which are compared against statistically defined thresholds from a set of training
data. To determine the number of delays to be included in the DPCA model as well as the …
leaks in an experimental pipeline. A dynamic PCA implementation (DPCA) was used to
capture the process dynamics because the system variables are time-correlated. To detect
leaks online, the Hotelling's T2 statistic and the squared prediction error (SPE) were used as
residuals, which are compared against statistically defined thresholds from a set of training
data. To determine the number of delays to be included in the DPCA model as well as the …
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