On the selection of acoustic/vibration sensors for leak detection in plastic water pipes

Gao, Yan; Brennan, M.J.; Joseph, Phillip; Muggleton, J.M.; Hunaidi, Osama

doi:10.1016/j.jsv.2004.05.004

Cited by 161 publications

(101 citation statements)

References 6 publications

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“…However, acoustic signals are always embedded in various signals such as; water flow noise, background noise, pipe's natural frequencies, and so forth. Various studies have reported that leaks exist in lower frequency bands of measured acoustic signals in plastic pipes, typically less than 200 Hz [6,8,39]. For determining the best mother wavelet, some experiments are designed to investigate the characteristics of signals in a standard plastic pipeline and to extract distinction features of leakage acoustic signals, which are referred to as ''leakage signatures".…”

Section: General Methods Of Underwater Leakage Identificationmentioning

confidence: 99%

“…As sensors placement distance becomes shorter and shorter, the more reliable leak detection and localization will be [6,7]. Experimentally, it is also authenticated that correlation-based methods are more reliable for the identification of leakage rather than the other methods [8,9]. Since these permanent leak detection techniques are based on continuous monitoring acoustic sensors, operational change is not possible [10].…”

Section: Introductionmentioning

confidence: 99%

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The Free-Swimming Device Leakage Detection in Plastic Water-filled Pipes through Tuning the Wavelet Transform to the Underwater Acoustic Signals

Kumar

Zhu

et al. 2017

Water

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Abstract:The conventional fixed acoustic sensors leak detection methods have been demonstrated to be very practical for locating leakages in water distribution pipelines. However, these methods demand proper installation of sensors, and therefore cannot be implemented on buried long water distribution pipelines for condition assessment, early leak detection, and the estimation of leak size effect. Due to these limitations, a free-swimming device is developed. The free-swimming device with the potential of high acoustic sensitivity is capable of detecting the small underwater leakages in the plastic water-filled pipes. Despite the fact that a number of factors influence the underwater acoustic signals, such as water flow noise. Therefore, the interpretation of the leakage and influence of leakage size is considerably challenging from the underwater measured signals. The new method is proposed for reliable leakage detection by tuning the wavelet transform to underwater water acoustic signals. In this method, firstly, Short-Time Fourier Transforms (STFT) of underwater acoustic signals over a relatively long time-interval is monitored to capture the leakage-signals signature. The captured signals efficiently lead in the selection of mother wavelet (tuned wavelet) for the excellent signal localization in the time-frequency domain. Finally, the acoustic signals are analyzed in the tuned wavelet transform to detect the events. In this paper, the practical application of the proposed method, the controlled experiments are designed, and acoustic signals are collected from an experimental setup by launching the free-swimming device. The measured acoustic signals are used to identify the leakage-signals signature from unwanted interfering signals (instantaneous pipe vibrations, water flow noise, pipe's natural frequencies, and background noise). The evaluation of results validated that the free-swimming device and the tuned wavelet transform together can efficiently lead to reliable underwater leakage detection, as well as the influence of the leakage size in plastic water-filled pipes.

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Section: General Methods Of Underwater Leakage Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Free-Swimming Device Leakage Detection in Plastic Water-filled Pipes through Tuning the Wavelet Transform to the Underwater Acoustic Signals

Kumar

Zhu

et al. 2017

Water

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show abstract

“…Additionally, acoustic equipment is less effective for new pipe materials (for example polyvinyl chloride, PVC). Noise is transmitted less far in these (non-metallic) materials, resulting in a longer searching time (Gao et al 2005;Li et al 2015). Even with small DMAs, leak localization results in a time-consuming and labor-intensive process.…”

Section: Introductionmentioning

confidence: 99%

Automated leak localization performance without detailed demand distribution data

Moors

Scholten

Hoek

et al. 2018

Urban Water Journal

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Automatic leak localization has been suggested to reduce the time and personnel efforts needed to localize (small) leaks. Yet, the available methods require a detailed demand distribution model for successful calibration and good leak localization performance. The main aim of this work was to analyze whether such a detailed demand distribution is needed. Two demand distributions were used: a factorized distribution that distributes the inflow demand proportionally across the consumption nodes according to individual billing data, and a uniform distribution that equally distributes demand across all consumption nodes. The performance of the automatic leak localization method, using both demand distribution models, was compared. A new measure for leak localization performance that is based on the percentage of false positive nodes is proposed. It was possible to localize the leaks with both demand distribution models, although performance varied depending on the timing and duration of the measurement.

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“…Besides the sensor and amplifier, specialized equipment for vibration recording and analyzing are also needed, such as oscilloscope, signal analyzer, and spectrum analyzer and so on. Therefore the entire system is complicated and costly and only has single function and weak reconfiguration [16,17]. Thus, this article abandons traditional test methods, applies DASP system to the vibration in-situ test of pressure pipeline of pumping station and analyzes the vibration of pipeline under specific running conditions.…”

Section: Introductionmentioning

confidence: 99%

In-Situ Test of Pressure Pipeline Vibration based on Data Acquisition and Signal Processing

Hui-min

Liu

et al. 2015

International Journal on Smart Sensing and Intelligent Systems

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On the selection of acoustic/vibration sensors for leak detection in plastic water pipes

Cited by 161 publications

References 6 publications

The Free-Swimming Device Leakage Detection in Plastic Water-filled Pipes through Tuning the Wavelet Transform to the Underwater Acoustic Signals

The Free-Swimming Device Leakage Detection in Plastic Water-filled Pipes through Tuning the Wavelet Transform to the Underwater Acoustic Signals

Automated leak localization performance without detailed demand distribution data

In-Situ Test of Pressure Pipeline Vibration based on Data Acquisition and Signal Processing

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