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For: He G, Liang Y, Li Y, Wu M, Sun L, Xie C, Li F. A method for simulating the entire leaking process and calculating the liquid leakage volume of a damaged pressurized pipeline. J Hazard Mater 2017;332:19-32. [PMID: 28279870 DOI: 10.1016/j.jhazmat.2017.02.039] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2017] [Revised: 02/19/2017] [Accepted: 02/22/2017] [Indexed: 06/06/2023]
Number Cited by Other Article(s)
1
Zhao X, Liu Z, Zhao J, Kang T, Yan C, Ju C, Ma L, Zhang X, Wang Y, Wu Y. Highly efficient molecular film for inhibiting volatilization of hazardous nitric acid. ENVIRONMENTAL RESEARCH 2024;246:118151. [PMID: 38191045 DOI: 10.1016/j.envres.2024.118151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 01/05/2024] [Indexed: 01/10/2024]
2
Oseni WY, Akangbe OA, Abhulimen K. Mathematical modelling and simulation of leak detection system in crude oil pipeline. Heliyon 2023;9:e15412. [PMID: 37151706 PMCID: PMC10161642 DOI: 10.1016/j.heliyon.2023.e15412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 04/02/2023] [Accepted: 04/06/2023] [Indexed: 05/09/2023]  Open
3
Dehkordi MK, Behnam B, Pirbalouti RG. Probabilistic fire risk analysis of process pipelines. J Loss Prev Process Ind 2022. [DOI: 10.1016/j.jlp.2022.104907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
4
Cai P, Li M, Liu Z, Li P, Zhao Y, Zhou Y. Experimental and Numerical Study of Natural Gas Leakage and Explosion Characteristics. ACS OMEGA 2022;7:25278-25290. [PMID: 35910168 PMCID: PMC9330169 DOI: 10.1021/acsomega.2c02200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
5
Gong F, Gao Y, Yuan X, Liu X, Li Y, Ji X. Crude Oil Leakage Detection Based on DA‐SR Framework. ADVANCED THEORY AND SIMULATIONS 2022. [DOI: 10.1002/adts.202200273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
6
Yuan F, Zeng Y, Khoo BC. A new real-gas model to characterize and predict gas leakage for high-pressure gas pipeline. J Loss Prev Process Ind 2022. [DOI: 10.1016/j.jlp.2021.104650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
7
Flow Influenced Initiation and Propagation of SRB Corrosion on L360N Carbon Steel. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2021. [DOI: 10.1007/s13369-021-06196-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
8
Zheng J, Liang Y, Xu N, Wang B, Zheng T, Li Z, Liao Q, Zhang H. Deeppipe: a customized generative model for estimations of liquid pipeline leakage parameters. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107290] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
9
Visual Leakage Inspection in Chemical Process Plants Using Thermographic Videos and Motion Pattern Detection. SENSORS 2020;20:s20226659. [PMID: 33233733 PMCID: PMC7699941 DOI: 10.3390/s20226659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 11/13/2020] [Accepted: 11/18/2020] [Indexed: 11/22/2022]
10
Wang F, Lin W, Liu Z, Qiu X. Pressure Signal Enhancement of Slowly Increasing Leaks Using Digital Compensator Based on Acoustic Sensor. SENSORS 2019;19:s19194317. [PMID: 31590414 PMCID: PMC6806352 DOI: 10.3390/s19194317] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 09/24/2019] [Accepted: 10/03/2019] [Indexed: 11/18/2022]
11
Simulation of the Transient Characteristics of Water Pipeline Leakage with Different Bending Angles. WATER 2019. [DOI: 10.3390/w11091871] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
12
Hu X, Zhang H, Ma D, Wang R. Status detection from spatial-temporal data in pipeline network using data transformation convolutional neural network. Neurocomputing 2019. [DOI: 10.1016/j.neucom.2019.05.020] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
13
Pipeline Leak Detection and Location Based on Model-Free Isolation of Abnormal Acoustic Signals. ENERGIES 2019. [DOI: 10.3390/en12163172] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
14
Adegboye MA, Fung WK, Karnik A. Recent Advances in Pipeline Monitoring and Oil Leakage Detection Technologies: Principles and Approaches. SENSORS (BASEL, SWITZERLAND) 2019;19:E2548. [PMID: 31167413 PMCID: PMC6603558 DOI: 10.3390/s19112548] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 05/24/2019] [Accepted: 05/27/2019] [Indexed: 11/18/2022]
15
Tian H, Wang X, Shu G, Wu M, Yan N, Ma X. A quantitative risk-assessment system (QR-AS) evaluating operation safety of Organic Rankine Cycle using flammable mixture working fluid. JOURNAL OF HAZARDOUS MATERIALS 2017;338:394-409. [PMID: 28591683 DOI: 10.1016/j.jhazmat.2017.05.039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 05/17/2017] [Accepted: 05/21/2017] [Indexed: 06/07/2023]
16
A Sensitivity Analysis of a Computer Model-Based Leak Detection System for Oil Pipelines. ENERGIES 2017. [DOI: 10.3390/en10081226] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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