Mobile QR Code QR CODE : Korean Journal of Air-Conditioning and Refrigeration Engineering
Korean Journal of Air-Conditioning and Refrigeration Engineering

Korean Journal of Air-Conditioning and Refrigeration Engineering

ISO Journal TitleKorean J. Air-Cond. Refrig. Eng.
  • Open Access, Monthly
Open Access Monthly
  • ISSN : 1229-6422 (Print)
  • ISSN : 2465-7611 (Online)
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  3. 2022-08 (Vol.34 No.08)
  4. 10.6110/KJACR.2022.34.8.380
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References

1 
2022, Public Data Portal, https://www.data.go.kr/data/15002877/fileData.do (accessed on 10 Jan, 2022)URL
2 
2022, Korea Construction Standard Center, https://www.kcsc.re.kr/StandardCode/Viewer/40020 (accessed on 10 Jan, 2022).URL
3 
Kim H. S., Kim G. B., Kim L. H., 2017, Development of a Failure Probability Model based on Operation Data of Thermal Piping Network in District Heating System, Korean Chemical Engineering Research, Vol. 55, No. 3, pp. 322-331DOI
4 
Scott I. G., 1991, Basic Acoustic Emission, Gordon and Breach, USA: New YorkGoogle Search
5 
Yang J., Qingxin Y., Guanghai L., Jingyan Z., 2006, Acoustic Emission Source Identification Technique for Buried Gas Pipeline Leak, 9th International Conference on Control, Vol. automation, No. robotics and vision, pp. 1-5DOI
6 
Sun L., Li Y., Li C., Wang L., Wu J., 2010, Active defects detection and localization using acoustic emission method, 8th World Congress on Intelligent Control and Automation, pp. 5348-5351DOI
7 
Anastasopoulos A., Kourousis D., Bollas K., 2009, Acoustic emission leak detection of liquid filled buried pipeline, Journal of Acoustic Emission, Vol. 27URL
8 
Xu C., Gong P., Xie J., Shi H., Chen G., Song G., 2016, An acoustic emission based multi-level approach to buried gas pipeline leakage localization, Journal of Loss Prevention in the Process Industries, Vol. 44, pp. 397-404DOI
9 
Jin H., Zhang L., Liang W., Ding Q., 2014, Integrated leakage detection and localization model for gas pipelines based on the acoustic wave method, Journal of Loss Prevention in the Process Industries, Vol. 27, pp. 74-88DOI
10 
Smith A., Moore I. D., Dixon N., 2019, Acoustic emission sensing of pipe–soil interaction: full-scale pipelines subjected to differential ground movements, Journal of Geotechnical and Geoenvironmental Engineering, Vol. 145, No. 12, pp. 04019113URL
11 
El-Zahab S., Abdelkader E. M., Zayed T., 2018, An accelerometer-based leak detection system, Mechanical Systems and Signal Processing, Vol. 108, pp. 276-291DOI
12 
Ismail M. I. M., Dziyauddin R. A., Salleh N. A. M., Ahmad R., Azmi M. H., Kaidi H. M., 2018, Analysis and procedures for water pipeline leakage using three-axis accelerometer sensors: ADXL335 and MMA7361, IEEE Access, Vol. 6, pp. 71249-71261DOI
13 
Fuller C. R., Fahy F. J., 1982, Characteristics of wave propagation and energy distributions in cylindrical elastic shells filled with fluid, Journal of Sound and Vibration, Vol. 81, No. 4, pp. 501-518DOI
14 
Bercher J. F., Vignat C., 2000, Estimating the entropy of a signal with applications, IEEE Transactions on Signal Processing, Vol. 48, No. 6, pp. 1687-1694DOI
15 
Xia Z., Xia S., Wan L., Cai S., 2012, Spectral regression based fault feature extraction for bearing accelerometer sensor signals, Sensors, Vol. 12, No. 10, pp. 13694-13719DOI
16 
Choi Y. O., Kim J. M., Ahn B. H., Choi B. K., 2020, Feature analysis of acoustic emission and vibration signal according to pipe cracking shape and valve opening/closing, Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 30, No. 1, pp. 5-10Google Search
17 
Meng L. Y., Wang W. C., Fu J. T., 2012, Experimental study on leak detection and location for gas pipeline based on acoustic method, Journal of Loss Prevention in the Process Industries, Vol. 25, No. 1, pp. 90-102DOI
18 
Xiao R., Hu Q., Li J., 2019, Leak Detection of Gas Pipelines Using Acoustic Signals Based on Wavelet Transform and Support Vector Machine, Measurement, Vol. 146, pp. 479-489DOI
19 
Li S., Song Y., Zhou G., 2018, Leak Detection of Water Distribution Pipeline Subject to Failure of Socket Joint Based on Acoustic Emission and Pattern Recognition, Measurement, Vol. 115, pp. 39-44DOI
20 
Mostafapour A., Davoudi S., 2013, Analysis of Leakage in High Pressure Pipe Using Acoustic Emission Method, Applied Acoustics, Vol. 74, No. 3, pp. 335-342DOI
21 
Ismail M. I. M., Dziyauddin R. A., Salleh N. A. A., 2015, Performance Evaluation of Wireless Accelerometer Sensor for Water Pipeline Leakage, In 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS), pp. 120-125DOI
22 
Marmarokopos K., Doukakis D., Frantziskonis G., Avlonitis M., 2018, Leak Detection in Plastic Water Supply Pipes with a High Signal-to-noise Ratio Accelerometer, Measurement and Control, Vol. 51, No. 1-2, pp. 27-37DOI