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Te-Kwei Wang, Yu-Hsun Lin, Jian-Yuan Shen
Pág. 169 - 180
This research proposes an artificial intelligence (AI) detection model using convolutional neural networks (CNN) to automatically detect gas leaks in a long-distance pipeline. The change of gap pressure is collected when leakage occurs in the pipeline, a...
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Myrna V. Casillas, Luis E. Garza-Castañón and Vicenç Puig
In this paper, a sensor placement approach to improve the leak location in water distribution networks is proposed when the leak signature space (LSS) method is used. The sensor placement problem is formulated as an integer optimization problem where the...
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Myrna V. Casillas, Luis E. Garza-Castañón, Vicenç Puig and Adriana Vargas-Martinez
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Myrna V. Casillas, Luis E. Garza-Castañón, Vicenç Puig and Adriana Vargas-Martinez
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Uma Rajasekaran, Mohanaprasad Kothandaraman and Chang Hong Pua
Significant water loss caused by pipeline leaks emphasizes the importance of effective pipeline leak detection and localization techniques to minimize water wastage. All of the state-of-the-art approaches use deep learning (DL) for leak detection and cro...
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Qiang Zhang, Xiaoqian Chen, Yiyong Huang and Xiang Zhang
This paper investigates the fluidic leak rate through sealing contact surfaces by comparison between model calculation and experiment measurement. The focus is on an experimental device designed to measure the leak rate of the static seals with a simpler...
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Abdel-Hakim Bouzid
The accurate prediction of liquid leak rates in packing seals is an important step in the design of stuffing boxes, in order to comply with environmental protection laws and health and safety regulations regarding the release of toxic substances or fugit...
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Christogonus U. Onukwube, Daniel O. Aikhuele and Shahryar Sorooshian
Water distribution networks are complex systems that aid in the delivery of water to residential and non-residential areas. However, the networks can be affected by different types of faults, which could lead to the wastage of treated water. As such, the...
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MohammadHossein Reshadi, Wen Li, Wenjie Xu, Precious Omashor, Albert Dinh, Scott Dick, Yuntong She and Michael Lipsett
Anomaly detection in data streams (and particularly time series) is today a vitally important task. Machine learning algorithms are a common design for achieving this goal. In particular, deep learning has, in the last decade, proven to be substantially ...
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Oscar Scussel, Michael J. Brennan, Jennifer M. Muggleton, Fabrício C. L. de Almeida, Phillip F. Joseph and Yan Gao
In buried plastic water pipes, the predominantly fluid-borne wave is of particular interest, as it plays a key role in the propagation of leak noise. Consequently, it has been studied by several researchers to determine the speed of wave propagation and ...
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Oscar Scussel, Michael J. Brennan, Fabrício Cézar L. de Almeida, Mauricio K. Iwanaga, Jennifer M. Muggleton, Phillip F. Joseph and Yan Gao
The frequency range of the leak noise in buried water pipes, measured using acoustic correlators, depends significantly on the type of pipe and its location as well as the type of sensors used. Having a rough idea of this frequency range can be beneficia...
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Manuel Boebel, Fabian Frei, Frank Blumensaat, Christian Ebi, Marcel Louis Meli and Andreas Rüst
Drinking water is becoming increasingly scarce as the world?s population grows and climate change continues. However, there is great potential to improve drinking water pipelines, as 30% of fresh water is lost between the supplier and consumer. While sys...
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Daniel Barros, Isabela Almeida, Ariele Zanfei, Gustavo Meirelles, Edevar Luvizotto, Jr. and Bruno Brentan
Leakages in distribution networks reach more than 30% of the water supplied, entailing important risks for the water infrastructure with water contamination issues. Therefore, it is necessary to develop new methods to mitigate the amount of water wastes....
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Huda Aslam, Md Maruf Mortula, Sherif Yehia, Tarig Ali and Manreet Kaur
Leakages from water distribution infrastructures are responsible for a considerable amount of water losses. Consequently, innovative, non-destructive techniques (NDT) of leakage detection for early recognition is vital. In this study, the leak detection ...
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Au?rius Juozapavicius, Agne Brilingaite, Linas Bukauskas and Ricardo Gregorio Lugo
Password hygiene plays an essential part in securing systems protected with single-factor authentication. A significant fraction of security incidents happen due to weak or reused passwords. The reasons behind differences in security vulnerable behaviour...
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Ruska Kattel, Bhupendra Devkota
Pág. 16 - 29
Transformer is the crucial part in any electrical system, however there are many risks associated with its use. Thus this study was focused on assessing the status of PCBs contamination and distribution of transformers in Distribution Centre-North of the...
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Ruska Kattel, Bhupendra Devkota
Pág. 16 - 29
Transformer is the crucial part in any electrical system, however there are many risks associated with its use. Thus this study was focused on assessing the status of PCBs contamination and distribution of transformers in Distribution Centre-North of the...
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Nahid Nadimi, Reza Javidan and Kamran Layeghi
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Gregory Hallewell, John Dingley, Martin Doubek, Robin Feuillassier, Sergey Katunin, Koichi Nagai, David Robinson, Alexandre Rozanov, David Williams and Vaclav Vacek
We have developed ultrasonic instrumentation for simultaneous flow and composition measurement in a variety of gas mixtures. Flow and composition are respectively derived from measurements of the difference and average of sound transit times in opposite ...
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Mariano Lombardi, Gianfranco Prete, Giovanni Balbinot, Alice Ferretti, Giuseppe Galeazzi and Andrea Battistella
Results obtained with a new, very compact detector for imaging with a matrix of leak microstructures (LM) are reported. Spatial linearity and spatial resolution obtained by scanning and the detection of alpha particles with 100% efficiency, when compared...
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