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Volumn 4, Issue 9, 1996, Pages 1271-1276

A neural-network approach for acoustic leak monitoring in pressurized plants with complicated topologies

Author keywords

Classification; Fault location; Leakage; Monitoring; Neural networks; Pressurized water reactors

Indexed keywords


EID: 30244549827     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/0967-0661(96)00134-7     Document Type: Article
Times cited : (9)

References (7)
  • 1
    • 0025742297 scopus 로고
    • Ten years of experience with leak detection by acoustic signal analysis
    • Fuchs, H. V. and R. Riehle (1991). Ten Years of Experience with Leak Detection by Acoustic Signal Analysis. Applied Acoustics, 33, pp. 1-19
    • (1991) Applied Acoustics , vol.33 , pp. 1-19
    • Fuchs, H.V.1    Riehle, R.2
  • 3
    • 38249023790 scopus 로고
    • Acoustic emission inspections of nuclear components considering recent research programmes
    • Jax, P. and K. Ruthrof (1989). Acoustic Emission Inspections of Nuclear Components Considering Recent Research Programmes. Nuclear Engineering and Design, 113, pp. 71-79
    • (1989) Nuclear Engineering and Design , vol.113 , pp. 71-79
    • Jax, P.1    Ruthrof, K.2
  • 7
    • 0003421109 scopus 로고
    • University of Stuttgart, Institute for Parallel and Distributed High Perfomance Systems
    • Zell, A. et al. (1995). Stuttgart Neural Network Simulator, User Manual, Version 4.0, University of Stuttgart, Institute for Parallel and Distributed High Perfomance Systems
    • (1995) Stuttgart Neural Network Simulator, User Manual, Version 4.0
    • Zell, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.