Deep learning-based burst location with domain adaptation across different sensors in water distribution networks.

•This study proposes a domain adaption method for pipe burst location based on deep learning.•Three classifiers are trained by pipe burst features, and adversarial training is introduced during the edge domain fusion.•The results showed that the overall prediction accuracy of the three scenarios was over 90%.