| A semi-supervised leakage detection method driven by multivariate time series for natural gas gathering pipeline Z Zuo, L Ma, S Liang, J Liang, H Zhang, T Liu Process Safety and Environmental Protection 164, 468-478, 2022 | 35 | 2022 |
| Leak detection for natural gas gathering pipelines under multiple operating conditions using RP-1dConvLSTM-AE and multimodel decision Z Zuo, H Zhang, L Ma, T Liu, S Liang IEEE Transactions on Industrial Electronics, 2023 | 5 | 2023 |
| Data-driven digital twin method for leak detection in natural gas pipelines J Liang, L Ma, S Liang, H Zhang, Z Zuo, J Dai Computers and Electrical Engineering 110, 108833, 2023 | 3 | 2023 |
| An unsupervised leak detection method with aggregating prediction and reconstruction along projection pathway for natural gas gathering pipelines H Zhang, Z Zuo, Z Li, L Ma, S Liang Process Safety and Environmental Protection 179, 275-289, 2023 | 2 | 2023 |
| Unsupervised leak detection of natural gas pipe based on leak-free flow data and deep auto-encoder S Li, R Huang, W Xu, Z Zuo, S Liang 2022 China Automation Congress (CAC), 678-683, 2022 | 2 | 2022 |
| Leak Detection in Natural Gas Pipelines Based on Unsupervised Reconstruction of Healthy Flow Data J Liang, S Liang, H Zhang, Z Zuo, L Ma, J Dai SPE Production & Operations 38 (03), 513-526, 2023 | 1 | 2023 |
| A self-supervised leak detection method for natural gas gathering pipelines considering unlabeled multi-class non-leak data Z Zuo, H Zhang, Z Li, L Ma, S Liang, T Liu, M Mercangöz Computers in Industry 159, 104102, 2024 | | 2024 |
| Leak detection for natural gas gathering pipelines under corrupted data via assembling twin robust autoencoders H Zhang, Z Zuo, Z Li, L Ma, S Liang, Q Lü, H Zhou Process Safety and Environmental Protection, 2024 | | 2024 |
