| Leak-before-break main failure prevention for water distribution pipes using acoustic smart water technologies: Case study in Adelaide M Stephens, J Gong, C Zhang, A Marchi, L Dix, MF Lambert Journal of Water Resources Planning and Management 146 (10), 05020020, 2020 | 60 | 2020 |
| Faster inverse transient analysis with a head-based method of characteristics and a flexible computational grid for pipeline condition assessment C Zhang, J Gong, A Zecchin, M Lambert, A Simpson Journal of Hydraulic Engineering 144 (4), 04018007, 2018 | 36 | 2018 |
| A convolutional neural network for pipe crack and leak detection in smart water network C Zhang, BJ Alexander, ML Stephens, MF Lambert, J Gong Structural Health Monitoring 22 (1), 232-244, 2023 | 33 | 2023 |
| Detection of emerging through-wall cracks for pipe break early warning in water distribution systems using permanent acoustic monitoring and acoustic wave analysis J Gong, MF Lambert, ML Stephens, BS Cazzolato, C Zhang Water Resources Management 34, 2419-2432, 2020 | 32 | 2020 |
| Multi-stage parameter-constraining inverse transient analysis for pipeline condition assessment C Zhang, AC Zecchin, MF Lambert, J Gong, AR Simpson Journal of Hydroinformatics 20 (2), 281-300, 2018 | 30 | 2018 |
| Pipe crack early warning for burst prevention by permanent acoustic noise level monitoring in smart water networks C Zhang, MF Lambert, ML Stephens, J Gong, BS Cazzolato Urban Water Journal 17 (9), 827-837, 2020 | 24 | 2020 |
| Impedance estimation along pipelines by generalized reconstructive method of characteristics for pipeline condition assessment C Zhang, J Gong, AR Simpson, AC Zecchin, MF Lambert Journal of Hydraulic Engineering 145 (4), 04019010, 2019 | 15 | 2019 |
| Bayesian inverse transient analysis for pipeline condition assessment: parameter estimation and uncertainty quantification C Zhang, MF Lambert, J Gong, AC Zecchin, AR Simpson, ML Stephens Water Resources Management 34, 2807-2820, 2020 | 13 | 2020 |
| Sensor placement strategy for pipeline condition assessment using inverse transient analysis C Zhang, J Gong, MF Lambert, AR Simpson, AC Zecchin Water Resources Management 33, 2761-2774, 2019 | 12 | 2019 |
| Acoustic signal classification by support vector machine for pipe crack early warning in smart water networks C Zhang, ML Stephens, MF Lambert, BJ Alexander, J Gong Journal of Water Resources Planning and Management 148 (7), 04022035, 2022 | 11 | 2022 |
| Rate of change processing of acoustic data from a permanent monitoring system for pipe crack early identification: A case study M Stephens, C Zhang, M Lambert Journal of Water Resources Planning and Management 148 (2), 05021031, 2022 | 9 | 2022 |
| Detection of structural anomalies in a pipeline network ML Stephens, DIX Luke, C Zhang, J Gong, B Cazzolato, MF Lambert US Patent App. 17/605,678, 2022 | 4 | 2022 |
| Method and system for detecting a structural anomaly in a pipeline network ML Stephens, DIX Luke, C Zhang, J Gong, B Cazzolato, MF Lambert US Patent App. 17/605,680, 2022 | 2 | 2022 |
| Inverse transient analysis using the head-based method of characteristics with a flexible grid: a laboratory verification C Zhang, J Gong, AR Simpson, MF Lambert, AC Zecchin Deakin University, 2018 | | 2018 |
Martin F LambertThe University of Adelaideadelaide.edu.au의 이메일 확인됨