Locating leaks from water supply pipes using the passive acoustic method

Lockwood, Alexander P. G.; Murray, Tavi; Stuart, G. W.; Scudder, L.P.

doi:10.2166/aqua.2005.0046

Cited by 4 publications

(3 citation statements)

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“…2 is 56, and that of ) fig. 3 To compare the performance of the proposed approach with the conventional methods [1][2][3][4], lots of leak signals acquired in confirmed leak pipelines are processed. Compared with the actual value 1 l , it can see that the leak location results in table 2 are more accurate.…”

Section: B Resultsmentioning

confidence: 99%

“…where v is the propagation velocity of acoustic signal, l is the distance between sensing points, D is the estimate of D by the time delay estimation techniques [1][2][3][4]. In (2), in order to locate the source, we can see that the accurate propagation velocity is a necessary.…”

Section: Detection Modelmentioning

confidence: 99%

“…In conventional acoustic source location methods, the correlation techniques are generally used to estimate the time delay between two acquired signals, and the source position is calculated based on an algebraic relationship among the time delay, the sensor-to-sensor distance, and the propagation velocity of acoustic signal [1,[3][4]. Thus, for the established methods, an important factor to locate acoustic source is the prior knowledge of the propagation velocity.…”

Section: Introductionmentioning

confidence: 99%

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Application of blind system identification in acoustic source location

Yang

Wen

2008

2008 10th International Conference on Control, Automation, Robotics and Vision

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In the traditional acoustic source location methods based on correlation technique, the acoustic signal propagation velocity is a prerequisite that has to be known beforehand. However, in practice, the prerequisite is not always available. Thus, the correlation based location methods are infeasible. Actually the acquired acoustic signals contain the characteristics related to the acoustic propagation channels, thus the blind system identification strategy is applied to estimate the transmission performances of acoustic channels. Due to the long impulse responses of acoustic channels, the overlap-save and cross-correlation fitting techniques are utilized in blind system identification to estimate the acoustic channels under a built constraint condition. The times due to the propagation of the acoustic source signal from the emission point to either sensor are extracted from the identified acoustic channels. Consequently, for acoustic source location, even if the information of propagation velocity is not available, the acoustic source point can be located. In order to avoid converging to the local minima, the genetic algorithm is adopted to optimize the channel identifications. The scheme has been practically employed to locate acoustic source without the prior knowledge of propagation velocity.

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Section: B Resultsmentioning

confidence: 99%