首页|Leakage identification in water pipes using explainable ensemble tree model of vibration signals
Leakage identification in water pipes using explainable ensemble tree model of vibration signals
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NSTL
Elsevier
This paper proposes a method of an explainable ensemble tree model in an optimized feature space, which is based on the wave propagation model and the leakage noise mechanism. Specifically, the vibration signal is analyzed and the piecewise power spectrum entropy is proposed and used to construct the feature space.The Boruta algorithm is used for feature reduction; then, four ensemble tree models are applied to build leakage identification models. Furthermore, Shapley Additive explanation method is used to select the optimal feature space. In addition, four groups of experiments were designed with different aperture, and 13 features were obtained after dimensionality reduction with the measured distance as the variable, the XGBoost model with the highest accuracy was selected, and 7 features were obtained using SHAP. Finally, the performance of the methodology is evaluated with different pipeline leakage scenarios and different algorithms, and the results demonstrate its application capability in the field.
Leak detectionAccelerometersVibration signal analysisEnsemble Tree modelSHAP TreeExplainerLOCATIONNOISESELECTIONBUBBLES
NSTL
Elsevier
