Evaluation of Internal Leak in Valve Using Acoustic Emission Method

Lee, Sang-Guk; Park, Jong Hyuck; Yoo, Keun Bae; Lee, Sun Ki; Hong, Sung-Yull

doi:10.4028/0-87849-415-4.661

Cited by 3 publications

(2 citation statements)

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“…opening and closing) and the detection of the wear or leakage in check valves [2,3]. Several research works studied the effects of AE parameters on valve and fluid variables such as pressure, types of gas and valve [4][5][6][7]. It was found that only AE RMS had a good correlation with those variables; whereas others AE parameters were reported to have insignificant influence.…”

Section: Introductionmentioning

confidence: 99%

Smart portable noninvasive instrument for detection of internal air leakage of a valve using acoustic emission signals

2011

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Section: Introductionmentioning

confidence: 99%

Smart portable noninvasive instrument for detection of internal air leakage of a valve using acoustic emission signals

2011

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“…Among them, AE technology is based on the principle that the transient elastic wave will be generated when the valve leaks and the AE signal will be sent out. The health state of the valve could be judged by collecting and analysing the valve internal leakage AE signal (VILAES) [4,5]. As a dynamic detection method, the energy detected by AE technology comes from the measured object itself rather than provided by the detection instruments like ultrasonic and radiographic inspection technologies.…”

Section: Introductionmentioning

confidence: 99%

Mixed multiple‐variable modelling of acoustic emission signals for valve internal leakage detection

2021

IET Science Measure & Tech

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Theoretical analysis and experimental data show that the acoustic emission (AE) technology can detect the internal leakage state of the valve online. One of its key technologies is to determine the relationship between the characteristic of valve internal leakage AE signal (VILAES) and leakage rate and various parameters. However, most of the currently established models are a single-variable model. In addition, the repeated and verification experiments are rarely introduced, and most experiments are conducted under a large leakage rate. To this end, the mixed multiple-variable model is built to describe the relationship between the characteristics of VILAES and leakage rates, pressures, valve calibres and flow coefficients for the same type of valve. In the experiments, two rounds of experiments were performed for the same valve; then, a round of experiments was carried out after moving the sensor, and two rounds of experiments were conducted for two valves with the same parameters. In modelling, the VILAES is filtered first, and then the characteristics of the filtered signal are calculated. The mixed multiple-variable model is established by the leastsquares support vector machine. The results show that the mixed multiple-variable model could realise online internal leakage for valves with different calibres and flow coefficients under different pressures.

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Research on Gate Valve Internal Leakage Detection Based on Acoustic Emission Signal Processing

Zhu

Zou

Gao

et al. 2014

AMR

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Gate valve is common equipment in the petrochemical industry. It often brings out internal leakage because of quality, operation, corrosion and other reasons, and has adverse influence on safety production, environment protection and energy conservation. This paper put forward the on-line detection method about the gate valve internal leakage detect problem on the basis of AE signal analysis. Firstly, introduced the structure of gate valve and main reasons of internal leakage, discovered the acoustic emission signal parameters of gate valve internal leakage, and derived the relation model between internal leakage and AE signal theoretically. Then, constructed internal leakage signal acquisition platform based on DN80 gate valve internal leakage simulation system. Finally, put forward gate valve gas internal leakage test, set the different pressure at different points on the conditions of different pressure valve of 0.2MPa, 0.4MPa and 0.6MPa, The experiment showed that gate valve internal leakage status can be displayed by the signal RMS value when the gate valve internal leakage AE signal is between 30kHz and 80kHz. The AE signal next to the gate valve downstream position is the strongest. Internal leakage of the valve exists if downstream signal was significantly greater than the upstream signal or the background noise. The AE signal strengthened while the pressure difference between upstream and downstream is increased.

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Evaluation of Internal Leak in Valve Using Acoustic Emission Method

Cited by 3 publications

References 0 publications

Smart portable noninvasive instrument for detection of internal air leakage of a valve using acoustic emission signals

Smart portable noninvasive instrument for detection of internal air leakage of a valve using acoustic emission signals

Mixed multiple‐variable modelling of acoustic emission signals for valve internal leakage detection

Research on Gate Valve Internal Leakage Detection Based on Acoustic Emission Signal Processing

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