$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

Acoustic data condensation to enhance pipeline leak detection

Nuclear engineering and design : an international journal devoted to the thermal, mechanical and structural problems of nuclear energy, v.327, 2018년, pp.198 - 211  

Oh, Se Won (Electronics and Telecommunications Research Institute, Daejeon 34129, Republic of Korea) ,  Yoon, Doo-Byung (Korea Atomic Energy Research Institute, Daejeon 34057, Republic of Korea) ,  Kim, Gwan Joong (Electronics and Telecommunications Research Institute, Daejeon 34129, Republic of Korea) ,  Bae, Ji-Hoon (Electronics and Telecommunications Research Institute, Daejeon 34129, Republic of Korea) ,  Kim, Hyeon Soo (Chungnam National University, Daejeon 34134, Republic of Korea)

Abstract AI-Helper 아이콘AI-Helper

Acoustic monitoring techniques are widely adopted for identifying various leaks from plant facilities to prevent loss of resources and any further structural damages. As the conventional sensing devices have measured acoustic signals at predesignated positions inside or very close to the object bein...

주제어

참고문헌 (63)

  1. Renew. Sustain. Energy Rev. Abdulshaheed 69 902 2017 10.1016/j.rser.2016.08.024 A pressure-based method for monitoring leaks in a pipe distribution system: a review 

  2. Nucl. Eng. Des. Doctor 89 2-3 339 1985 10.1016/0029-5493(85)90072-X Integration of nondestructive examination reliability and fracture mechanics 

  3. Nucl. Eng. Des. Fischer 128 1 43 1991 10.1016/0029-5493(91)90248-G Methods for leak detection for KWU pressurized and boiling water reactors 

  4. Nucl. Eng. Des. Hutton 86 1 3 1985 10.1016/0029-5493(85)90203-1 Acoustic emission for on-line reactor monitoring: results of intermediate vessel test monitoring and reactor hot functional testing 

  5. J. Hazard. Mater. Batzias 186 1 35 2011 10.1016/j.jhazmat.2010.09.115 Designing a reliable leak bio-detection system for natural gas pipelines 

  6. J. Loss Prev. Process Ind. Murvay 25 6 966 2012 10.1016/j.jlp.2012.05.010 A survey on gas leak detection and localization techniques 

  7. J. Loss Prev. Process Ind. Meng 25 1 90 2012 10.1016/j.jlp.2011.07.001 Experimental study on leak detection and location for gas pipeline based on acoustic method 

  8. Nucl. Eng. Des. Singh 241 7 2448 2011 10.1016/j.nucengdes.2011.04.028 Steam leak detection in advance reactors via acoustics method 

  9. ISA Trans. Choi 50 1 111 2011 10.1016/j.isatra.2010.08.004 An impact source localization technique for a nuclear power plant by using sensors of different types 

  10. Appl. Acoust. Fuchs 33 1 1 1991 10.1016/0003-682X(91)90062-J Ten years of experience with leak detection by acoustic signal analysis 

  11. Nucl. Eng. Des. Jax 113 1 71 1989 10.1016/0029-5493(89)90297-5 Acoustic emission inspections of nuclear components considering recent research programmes 

  12. J. Loss Prev. Process Ind. Jin 27 74 2014 10.1016/j.jlp.2013.11.006 Integrated leakage detection and localization model for gas pipelines based on the acoustic wave method 

  13. Loth 2003 Technology Assessment of On-line Acoustic Monitoring for Leaks/infringements in Underground Natural Gas Transmission Lines 

  14. Appl. Acoust. Mostafapour 74 3 335 2013 10.1016/j.apacoust.2012.07.012 Analysis of leakage in high pressure pipe using acoustic emission method 

  15. Int. J. Press. Vessels Pip. Ozevin 92 63 2012 10.1016/j.ijpvp.2012.01.001 Novel leak localization in pressurized pipeline networks using acoustic emission and geometric connectivity 

  16. 2013 

  17. Comput. Electr. Eng. Chandrashekar 40 1 16 2014 10.1016/j.compeleceng.2013.11.024 A survey on feature selection methods 

  18. J. Mach. Learn. Res. Guyon 3 1157 2003 An introduction to variable and feature selection 

  19. IEEE Trans. Pattern Anal. Mach. Intell. Mitra 24 6 734 2002 10.1109/TPAMI.2002.1008381 Density-based multiscale data condensation 

  20. Mach. Learn. Breiman 45 1 5 2001 10.1023/A:1010933404324 Random forests 

  21. 10.1145/2939672.2939785 Tianqi, Chen, Carlos, Guestrin. XGBoost. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 16. Association for Computing Machinery (ACM), 2016. 

  22. Mach. Learn. Cortes 20 3 273 1995 10.1007/BF00994018 Support-vector networks 

  23. IEEE Trans. Inf. Theory Cover 13 1 21 1967 10.1109/TIT.1967.1053964 Nearest neighbor pattern classification 

  24. Ann. Human Genetics Ronald Fisher 7 2 179 1936 The use of multiple measurements in taxonomic problems 

  25. 10.1109/ICASSP.1993.319424 Brodetsky, I., Savic, M., 1993. Leak monitoring system for gas pipelines. In: IEEE International Conference on Acoustics Speech and Signal Processing. Institute of Electrical and Electronics Engineers (IEEE). 

  26. Appl. Acoust. Hunaidi 58 3 235 1999 10.1016/S0003-682X(99)00013-4 Acoustical characteristics of leak signals in plastic water distribution pipes 

  27. Nucl. Eng. Des. Kupperman 86 1 13 1985 10.1016/0029-5493(85)90204-3 Acoustic leak detection for reactor coolant systems 

  28. Nucl. Eng. Des. Macleod 129 2 191 1991 10.1016/0029-5493(91)90094-X Acoustic monitoring techniques for structural integrity 

  29. Control Eng. Practice Hessel 4 9 1271 1996 10.1016/0967-0661(96)00134-7 A neural-network approach for acoustic leak monitoring in pressurized plants with complicated topologies 

  30. Ann. Nucl. Energy Seong 32 5 479 2005 10.1016/j.anucene.2004.11.011 Development of diagnosis algorithm for the check valve with spectral estimations and neural network models using acoustic signals 

  31. J. Sound Vib. Gao 277 1-2 133 2004 10.1016/j.jsv.2003.08.045 A model of the correlation function of leak noise in buried plastic pipes 

  32. J. Loss Prev. Process Ind. Kim 22 6 990 2009 10.1016/j.jlp.2008.08.009 Detection of leak acoustic signal in buried gas pipe based on the time-frequency analysis 

  33. Nucl. Eng. Technol. Yoon 44 8 977 2012 10.5516/NET.09.2011.067 Improvement of cross-correlation technique for leak detection of a buried pipe in a tonal noisy environment 

  34. Nucl. Eng. Des. Wach 129 2 129 1991 10.1016/0029-5493(91)90089-Z Vibration, neutron noise and acoustic monitoring in german LWRs 

  35. J. Comput. Civil Eng. Zarate 28 3 05014001 2014 10.1061/(ASCE)CP.1943-5487.0000335 Development and implementation of a cyberinfrastructure framework for research in nondestructive evaluation using acoustic emission data 

  36. Bishop 2006 Pattern Recognition and Machine Learning (Information Science and Statistics) 

  37. Han 2011 Data Mining: Concepts and Techniques 

  38. Data Min. Knowl. Disc. Provost 3 2 131 1999 10.1023/A:1009876119989 A survey of methods for scaling up inductive algorithms 

  39. Knowl. Inf. Syst. Keogh 3 3 263 2001 10.1007/PL00011669 Dimensionality reduction for fast similarity search in large time series databases 

  40. IEEE Trans. Pattern Anal. Mach. Intell. Martı?nez 23 2 228 2001 10.1109/34.908974 Pca versus lda 

  41. Fuente 53 2008 Fault diagnosis in a plant using fisher discriminant analysis 

  42. Struct. Health Monit. Niu 6 3 215 2007 10.1177/1475921707081110 A comparison of classifier performance for fault diagnosis of induction motor using multi-type signals 

  43. Prog. Aerosp. Sci. Lopez 46 7 247 2010 10.1016/j.paerosci.2010.03.003 A review of uncertainty in flight vehicle structural damage monitoring, diagnosis and control: Challenges and opportunities 

  44. 1999 

  45. 10.1016/B978-1-55860-335-6.50023-4 John, George H., Kohavi, Ron, Pfleger, Karl, et al. 1994. Irrelevant features and the subset selection problem. In: Machine learning: proceedings of the eleventh international conference, pages 121-129. 

  46. Inf. Process. Lett. Blumer 24 6 377 1987 10.1016/0020-0190(87)90114-1 Occam’s razor 

  47. Knowl.-Based Syst. Gara 98 1 2016 10.1016/j.knosys.2015.12.006 Tutorial on practical tips of the most influential data preprocessing algorithms in data mining 

  48. Bioinformatics Saeys 23 19 2507 2007 10.1093/bioinformatics/btm344 A review of feature selection techniques in bioinformatics 

  49. J. Chem. Inf. Comput. Sci. Goicoechea 42 5 1146 2002 10.1021/ci0255228 Wavelength selection for multivariate calibration using a genetic algorithm: a novel initialization strategy 

  50. Sensors Actuators B: Chem. Li 125 1 311 2007 10.1016/j.snb.2007.02.026 A comparative study of three evolutionary algorithms for surface acoustic wave sensor wavelength selection 

  51. Mach. Learn. Guyon 46 1/3 389 2002 10.1023/A:1012487302797 Gene selection for cancer classification using support vector machines 

  52. J. Chemom. Leardi 15 7 559 2001 10.1002/cem.651 Genetic algorithms in chemometrics and chemistry: a review 

  53. IEEE Signal Process. Lett. Cohen 5 11 292 1998 10.1109/97.728471 Generalization of the Wiener-Khinchin theorem 

  54. Nucl. Eng. Technol. Kim 44 6 663 2012 10.5516/NET.04.2011.023 Risky module prediction for nuclear i&c software 

  55. J. Nucl. Sci. Technol. Kasai 41 3 359 2004 10.1080/18811248.2004.9715496 Leak detection in the primary reactor coolant piping of nuclear power plant by applying beam-microphone technology 

  56. J. Nucl. Sci. Technol. Shimanskiy 41 2 183 2004 10.1080/18811248.2004.9715475 Development of acoustic leak detection and localization methods for inlet piping of fugen nuclear power plant 

  57. IAEA-TECDOC-946. Acoustic signal processing for detection of sodium boiling or sodium-water reaction in lmfrs. Technical report, IAEA, 1997. 

  58. Ann. Nucl. Energy Srinivasan 27 4 329 2000 10.1016/S0306-4549(99)00064-X Leak noise detection and characterisation using statistical features 

  59. Nucl. Technol. Kim 170 2 360 2010 10.13182/NT10-A9489 Acoustic leak detection technology for water/steam small leaks and microleaks into sodium to protect an sfr steam generator 

  60. Yughay, V.S., Gribok, A.V., Volov, A.N., 1997. Advanced signal processing techniques for acoustic detection of sodium/water reaction. Acoustic signal processing for the detection of sodium boiling or sodium-water reaction in LMFRs, page 203. 

  61. Ann. Nucl. Energy Marklund 101 1 2017 10.1016/j.anucene.2016.10.003 Demonstration of an improved passive acoustic fault detection method on recordings from the phenix steam generator operating at full power 

  62. J. Sound Vib. Brennan 304 1 213 2007 10.1016/j.jsv.2007.02.023 On the relationship between time and frequency domain methods in time delay estimation for leak detection in water distribution pipes 

  63. Ann. Nucl. Energy Marklund 85 175 2015 10.1016/j.anucene.2015.05.010 Application of a new passive acoustic leak detection approach to recordings from the dounreay prototype fast reactor 

LOADING...

관련 콘텐츠

이 논문과 함께 이용한 콘텐츠

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로