2011
DOI: 10.1134/s1061830911100111
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Features of the search for leaks in pipelines of heat networks using the acoustic-emission method

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Cited by 5 publications
(2 citation statements)
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“…According to the acoustic emission characteristics of buried pipelines, the stress-strain relationships have been studied and obtained the undervibration response of buried pipelines [6,7]. Some research studied the positioning of highpressure pipelines based on the acoustic emission method and the characteristics of acoustic emission in the time domain and frequency domain, believing that energy attenuation could be used as a method for acoustic emission location [8][9][10][11][12]. Others analyzed the characteristics of non-metallic buried gas pipelines and proposed electromagnetic wave acoustic waves as the means of pipeline positioning and detection.…”
Section: Introductionmentioning
confidence: 99%
“…According to the acoustic emission characteristics of buried pipelines, the stress-strain relationships have been studied and obtained the undervibration response of buried pipelines [6,7]. Some research studied the positioning of highpressure pipelines based on the acoustic emission method and the characteristics of acoustic emission in the time domain and frequency domain, believing that energy attenuation could be used as a method for acoustic emission location [8][9][10][11][12]. Others analyzed the characteristics of non-metallic buried gas pipelines and proposed electromagnetic wave acoustic waves as the means of pipeline positioning and detection.…”
Section: Introductionmentioning
confidence: 99%
“…A common non-destructive method of examination of small sections of water pipes is the usage of leak noise correlators. This method has a forty-year history of use in practice [6] and since it has proven itself well both with metal pipes [7] and with polymer and plastic pipes [8]. It should be noted, that the application for plastic pipes is conventionally considered a more complex task [9,10] and its effective solution normally requires non-trivial approaches to process signals [10][11][12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%