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Author: Runal Shrivastava
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Acoustic leak detection methods have proven effective in identifying leaks before they can cause interruptions in water supply and financial loss. However, most studies in this area have relied on laboratory experiments, and there is a need to expand the use of acoustic-based leak detection methods for real-time monitoring in the field. This study focuses on using hydrophones for leak detection in four different parts of a water network. The aim is to identify features that can differentiate between simulations of leaks and normal flow conditions and to assess the impact of network and leak characteristics on these features. Data was obtained from leaks simulated in the field, and the signals were analyzed using continuous wavelet transform and power spectral density. The results showed that acoustic signals from sites with cast iron pipes exhibit a higher power value in the frequency range of 200 to 400 Hz during most leak tests. Factors such as the distance of leaks from the sensors and network topology affect the magnitude of power for this frequency range, thus making detection more challenging. This frequency band can be used to establish a historical baseline and differentiate normal and abnormal conditions, thus, facilitating leak detection. The study concludes that acoustic-based leak detection methods have the potential to detect leaks in cast iron pipe networks. However, further research is necessary to tackle challenges present in real water distribution networks, including background noise, changes in pipe properties, and complicated network topology
Author: Runal Shrivastava
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Acoustic leak detection methods have proven effective in identifying leaks before they can cause interruptions in water supply and financial loss. However, most studies in this area have relied on laboratory experiments, and there is a need to expand the use of acoustic-based leak detection methods for real-time monitoring in the field. This study focuses on using hydrophones for leak detection in four different parts of a water network. The aim is to identify features that can differentiate between simulations of leaks and normal flow conditions and to assess the impact of network and leak characteristics on these features. Data was obtained from leaks simulated in the field, and the signals were analyzed using continuous wavelet transform and power spectral density. The results showed that acoustic signals from sites with cast iron pipes exhibit a higher power value in the frequency range of 200 to 400 Hz during most leak tests. Factors such as the distance of leaks from the sensors and network topology affect the magnitude of power for this frequency range, thus making detection more challenging. This frequency band can be used to establish a historical baseline and differentiate normal and abnormal conditions, thus, facilitating leak detection. The study concludes that acoustic-based leak detection methods have the potential to detect leaks in cast iron pipe networks. However, further research is necessary to tackle challenges present in real water distribution networks, including background noise, changes in pipe properties, and complicated network topology
Author: Dimitris M. Chatzigeorgiou
Publisher:
ISBN:
Category :
Languages : en
Pages : 133
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Book Description
Leaks are a major factor for unaccounted water losses in almost every water distribution network. Pipeline leak may result, for example, from bad workmanship or from any destructive cause, due to sudden changes of pressure, corrosion, cracks, defects in pipes or lack of maintenance. The problem of leak becomes even more serious when it is concerned with the vital supply of fresh water to the community. In addition to waste of resources, contaminants may infiltrate into the water supply. The possibility of environmental health disasters due to delay in detection of water pipeline leaks have spurred research into the development of methods for pipeline leak and contamination detection. This thesis is on the analysis and design of a floating mobile sensor for leak detection in water distribution pipes. This work covers the study of two modules, namely a "floating body" along with its "sensing module". The Mobility Module or the floating body was carefully studied and designed using advanced CFD techniques to make the body as non-invasive to the flow as possible and to avoid signal corruption. In addition, experiments were carried out to investigate the effectiveness of using in-pipe measurements for leak detection in plastic pipes. Specifically, acoustic signals due to simulated leaks were measured and studied for designing a detection system to be deployed inside water networks of 100mm pipe size.
Author: Roya Cody
Publisher:
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Category :
Languages : en
Pages :
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Book Description
Water distribution networks (WDNs) are complex systems that are subjected to stresses due to a number of hydraulic and environmental loads. Small leaks can run continuously for extended periods, sometimes indefinitely, undetected due to their minimal impact on the global system characteristics. As a result, system leaks remain an unavoidable reality and water loss estimates range from 10\%-25\% between treatment and delivery. This is a significant economic loss due to non-revenue water and a waste of valuable natural resource. Leaks produce perceptible changes in the sound and vibration fields in their vicinity and this aspect as been exploited in various techniques to detect leaks today. For example, the vibrations caused on the pipe wall in metal pipes, or acoustic energy in the vicinity of the leak, have all been exploited to develop inspection tools. However, most techniques in use today suffer from the following: (i) they are primarily inspection techniques (not monitoring) and often involve an expert user to interpret inspection data; (ii) they employ intrusive procedures to gain access into the WDN and, (iii) their algorithms remain closed and publicly available blind benchmark tests have shown that the detection rates are quite low. The main objective of this thesis is to address each of the aforementioned three problems existing in current methods. First, a technology conducive to long-term monitoring will be developed, which can be deployed year-around in live WDN. Secondly, this technology will be developed around existing access locations in a WDN, specifically from fire hydrant locations. To make this technology conducive to operate in cold climates such as Canada, the technology will be deployed from dry-barrel hydrants. Finally, the technology will be tested with a range of powerful machine learning algorithms, some new and some well-proven, and results published in the open scientific literature. In terms of the technology itself, unlike a majority of technologies that rely on accelerometer or pressure data, this technology relies on the measurement of the acoustic (sound) field within the water column. The problem of leak detection and localization is addressed through a technique called linear prediction (LP). Extensively used in speech processing, LP is shown in this work to be effective in capturing the composite spectrum effects of radiation, pipe system, and leak-induced excitation of the pipe system, with and without leaks, and thus has the potential to be an effective tool to detect leaks. The relatively simple mathematical formulation of LP lends itself well to online implementation in long-term monitoring applications and hence motivates an in-depth investigation. For comparison purposes, model-free methods including a powerful signal processing technique and a technique from machine learning are employed. In terms of leak detection, three data-driven anomaly detection approaches are employed and the LP method is explored for leak localization as well. Tests were conducted on several laboratory test beds, with increasing levels of complexity and in a live WDN in the city of Guelph, Ontario, Canada. Results form this study show that the LP method developed in this thesis provides a unified framework for both leak detection and localization when used in conjunction with semi-supervised anomaly detection algorithms. A novel two-part localization approach is developed which utilizes LP pre-processed data, in tandem with the traditional cross-correlation approach. Results of the field study show that the presented method is able to perform both leak-detection and localization using relatively short time signal lengths. This is advantageous in continuous monitoring situations as this minimizes the data transmission requirements, the latter being one of the main impediments to full-scale implementation and deployment of leak-detection technology.
Author: Stuart Hamilton
Publisher: IWA Publishing
ISBN: 1780404700
Category : Science
Languages : en
Pages : 106
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Book Description
Ageing infrastructure and declining water resources are major concerns with a growing global population. Controlling water loss has therefore become a priority for water utilities around the world. In order to improve efficiencies, water utilities need to apply good practices in leak detection. Leak Detection: Technology and Implementation assists water utilities with the development and implementation of leak detection programs. Leak detection and repair is one of the components of controlling water loss. In addition, techniques are discussed within this book and relevant case studies are presented. This book provides useful and practical information on leakage issues.
Author: Abu Hena Muntakim
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Acoustic emission (AE) method is becoming popular for leak detection in municipal water mains where leaks are identified and the locations are determined through interpretation of measured acoustic signals without any excavation or disruption of services. For the interpretation of signals, several parameters such as frequency band of signals, coherence between signals, and cross-correlation between signals are employed. However, published literature lack data on applicability of the AE method under various field conditions. This research presents field investigation of leak detection using AE method, identification of leak noise source, leak noise attenuation characteristics and finite element (FE) simulation of acoustic wave propagation through fluid filled pipe. The field application of the AE method was performed through measuring acoustic noise at two points bracketing the leak along the pipe length in the City of Mount Pearl in Newfoundland and Labrador, Canada. For a better understanding of the source of leak noise, a preliminary laboratory investigation was conducted under a controlled environment. At low flow rates, it was found that water (escaping from the leak) hits surrounding obstacles and generates the leak noise. To explore the characteristics of leak noise, a new laboratory facility was developed and the attenuation characteristics of the leak noise was investigated. Leak noise attenuation was found to depend on the flow rate of the water. Finally, finite element (FE) method was used for modelling of acoustic wave propagation and attenuation characteristics. A commercially available FE software "ABAQUS" was used. FE analysis reveals that acoustic leak noise can propagate up to 150 m before attenuating to the ambient noise level in water mains.
Author: Sabu M. Thampi
Publisher: Springer Nature
ISBN: 9811604258
Category : Computers
Languages : en
Pages : 384
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Book Description
This book constitutes the refereed proceedings of the 6th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2020, held in Chennai, India, in October 2020. Due to the COVID-19 pandemic the conference was held online. The 22 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 50 submissions. The papers cover wide research fields including information retrieval, human-computer interaction (HCI), information extraction, speech recognition.
Author: Osama Hunaidi
Publisher: American Water Works Association
ISBN: 0898679931
Category : Leak detectors
Languages : en
Pages : 170
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Book Description
Evaluates the effectiveness of pinpointing leaks in plastic pipe using acoustic leak detection equipment commonly used by the water industry in North America and promising technologies from other industries. Emphasizes technology and procedures for listening devices and an acoustic noise correlator. Research partner: National Research Council Canada.
Author: Samer El-Zahab
Publisher:
ISBN:
Category :
Languages : en
Pages : 238
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Book Description
Today, 844 million humans around the world have no access to safe drinking water. Furthermore, every 90 seconds, one child dies from water-related illnesses. Major cities lose 15% - 50% of their water and, in some cases, losses may reach up to 70%, mostly due to leaks. Therefore, it is paramount to preserve water as an invaluable resource through water networks, particularly in large cities in which leak repair may cause disruption. Municipalities usually tackle leak problems using various detection systems and technologies, often long after leaks occur; however, such efforts are not enough to detect leaks at early stages. Therefore, the main objectives of the present research are to develop and validate a leak detection system and to optimize leak repair prioritization. The development of the leak detection models goes through several phases: (1) technology and device selection, (2) experimental work, (3) signal analysis, (4) selection of parameters, (5) machine learning model development and (6) validation of developed models. To detect leaks, vibration signals are collected through a variety of controlled experiments on PVC and ductile iron pipelines using wireless accelerometers, i.e., micro-electronic mechanical sensors (MEMS). The signals are analyzed to pinpoint leaks in water pipelines. Similarly, acoustic signals are collected from a pilot project in the city of Montreal, using noise loggers as another detection technology. The collected signals are also analyzed to detect and pinpoint the leaks. The leak detection system has presented promising results using both technologies. The developed MEMS model is capable of accurately pinpointing leaks within 12 centimeters from the exact location. Comparatively, for noise loggers, the developed model can detect the exact leak location within a 25-cm radius for an actual leak. The leak repair prioritization model uses two optimization techniques: (1) a well-known genetic algorithm and (2) a newly innovative Lazy Serpent Algorithm that is developed in the present research. The Lazy Serpent Algorithm has proved capable of surpassing the genetic algorithm in determining a more optimal schedule using much less computation time. The developed research proves that automated real-time leak detection is possible and can help governments save water resource and funds. The developed research proves the viability of accelerometers as a standalone leak detection technology and opens the door for further research and experimentations. The leak detection system model helps municipalities and water resource agencies rapidly detect leaks when they occur in real-time. The developed pinpointing models facilitate the leak repair process by precisely determine the leak location where the repair works should be conducted. The Lazy Serpent Algorithm helps municipalities better distribute their resources to maximize their desired benefits.
Author: Amit Kumar
Publisher: Springer Nature
ISBN: 981157961X
Category : Technology & Engineering
Languages : en
Pages : 1561
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Book Description
This book is a collection of research papers and articles presented at the 3rd International Conference on Communications and Cyber-Physical Engineering (ICCCE 2020), held on 1-2 February 2020 at CMR Engineering College, Hyderabad, Telangana, India. Discussing the latest developments in voice and data communication engineering, cyber-physical systems, network science, communication software, image and multimedia processing research and applications, as well as communication technologies and other related technologies, it includes contributions from both academia and industry. This book is a valuable resource for scientists, research scholars and PG students working to formulate their research ideas and find the future directions in these areas. Further, it may serve as a reference work to understand the latest engineering and technologies used by practicing engineers in the field of communication engineering.
Author: Geetha Varsha Kosanam Chandrasekar
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Underwater Wireless Sensor Networks (UWSNs) have been becoming popular for exploring offshore, natural resource development, geological oceanography, and monitoring the underwater environment. The acoustic channel characteristics in underwater impose challenges, including limited bandwidth, signal attenuation, and propagation delay that limits UWSN utilization. The marine environment is under threat from pollution, which impacts human life and activities. Compared to other pollution types, the oil leak is a significant threat to the marine ecosystem. When the leaked oil or other petroleum products mix with water in the ocean, significant biological and economic impacts could result. Although much research has focused on improving the reception and processing of acoustic signals, increasing performance, and reducing packet delay, no significant research results have been reported on finding an effective early-stage leak detection method using acoustic signal processing. Accurate information about oil spill location and its characteristics is much needed for oil spill containment and cleanup operations. Developing an efficient under- water oil leak detection and localization algorithm is still challenging in UWSNs because of the impairments of the acoustic channel. In this thesis, we propose a technique that detects the presence of an oil leak in the underwater environment at an early stage. We also propose a localization algorithm that determines the approximate location of the oil leak. Firstly, we review the propagation properties of acoustic signals to understand acoustic communication in the marine environment better. We then discuss the transmission of sound in terms of reflection and refraction. We propose a leak detection technique based on the range estimation method to detect oil leak at an early stage before reaching the ocean sur- face. We perform a two-dimensional analysis for evaluating the performance of the proposed detection technique. To investigate the proposed technique, we perform evaluation with different network sizes and topologies. We discuss the detection ratio, network scalability, power and intensity of the received signal. We then perform a three-dimensional analysis to evaluate the performance of the proposed technique. We conduct theoretical analysis to investigate the proposed technique in terms of detection ratio, network scalability, power and intensity of the received signal. We assess the efficiency of the proposed detection method by considering an oil leak at different ocean levels. Finally, we propose a cooperative localization algorithm for localizing the leak in the UWSN. We then evaluate the proposed localization algorithm for two different topologies. Our results show that our proposed technique works well for an underwater network with concentric hexagonal topology. We can extend the proposed method for other types of targets with different shapes and sizes.
