2012
DOI: 10.1155/2012/689379
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Microphone Arrays as a Leakage Detection Tool in Industrial Compressed Air Systems

Abstract: Compressed air energy is expensive, but common in industrial manufacturing plant. However, a significant part of the generated compressed air energy is lost due to leakage. Best practice requires ongoing leak detection and repair. Leak detection in the ultrasonic frequency range using handheld devices is possible only over short distances as associated high-frequency sound is rapidly attenuated by atmospheric absorption. Pressurized air escaping to ambience also generates frequencies below 20 kHz. In this pape… Show more

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Cited by 17 publications
(9 citation statements)
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“…The hardware techniques use numerous equipment to enhance the sensorial perception of the staff. In the case of compressed air systems, the most used are ultrasound [8,9] devices and infrared cameras [7]. Although it is considered the industry standard and best practice, ultrasonic leak detection is limited to the application in short distances [10] and requires highly trained operators.…”
Section: Estimating Compressed Leakagementioning
confidence: 99%
See 1 more Smart Citation
“…The hardware techniques use numerous equipment to enhance the sensorial perception of the staff. In the case of compressed air systems, the most used are ultrasound [8,9] devices and infrared cameras [7]. Although it is considered the industry standard and best practice, ultrasonic leak detection is limited to the application in short distances [10] and requires highly trained operators.…”
Section: Estimating Compressed Leakagementioning
confidence: 99%
“…There are several techniques to detect and quantify the leakage in compressed air systems. Among them is the use of ultrasonic detectors [8,9] and infrared cameras [7,8]. Although these methods are the industry standard to locate the leaks, they are impractical [10] for the leakage quantification, particularly in the context of an energy audit.…”
Section: Introductionmentioning
confidence: 99%
“…Although the technique cannot be applied to correlated sources, it suits well the separation of the broadband signals [10]. When applied to the individual and combined low noise technologies the process can reveal additional sources beyond the dominant noise source in the frequency range of interest.…”
Section: Beamforming Source Deletionmentioning
confidence: 99%
“…The procedure is shown in Figure 8. Although the technique cannot be applied to correlated sources, it suits well the separation of the broadband signals [10]. When applied to the individual and combined low noise technologies the process can reveal additional sources beyond the dominant noise source in the frequency range of interest.…”
Section: Beamforming Source Deletionmentioning
confidence: 99%