Pipeline leakage detection and isolation: An integrated approach of statistical and wavelet feature extraction with multi-layer perceptron neural network (MLPNN)
M Zadkarami, M Shahbazian, K Salahshoor - Journal of Loss Prevention in …, 2016 - Elsevier
Leakage diagnosis of hydrocarbon pipelines can prevent environmental and financial
losses. This work proposes a novel method that not only detects the occurrence of a leakage
fault, but also suggests its location and severity. The OLGA software is employed to provide
the pipeline inlet pressure and outlet flow rates as the training data for the Fault Detection
and Isolation (FDI) system. The FDI system is comprised of a Multi-Layer Perceptron Neural
Network (MLPNN) classifier with various feature extraction methods including the statistical …
losses. This work proposes a novel method that not only detects the occurrence of a leakage
fault, but also suggests its location and severity. The OLGA software is employed to provide
the pipeline inlet pressure and outlet flow rates as the training data for the Fault Detection
and Isolation (FDI) system. The FDI system is comprised of a Multi-Layer Perceptron Neural
Network (MLPNN) classifier with various feature extraction methods including the statistical …
以上显示的是最相近的搜索结果。 查看全部搜索结果