메뉴 건너뛰기




Volumn 67, Issue 6, 2013, Pages 1302-1309

Advanced criticality assessment method for sewer pipeline assets

Author keywords

Calendar age; Probability of failure; Real age; Sewer pipe

Indexed keywords

AGING CHARACTERISTICS; CALENDAR AGE; CRITICALITY ASSESSMENT; ENVIRONMENTAL CONDITIONS; PROBABILITY OF FAILURE; REAL AGE; SEWER PIPES; UNITED STATES ENVIRONMENTAL PROTECTION AGENCIES;

EID: 84875994017     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2013.003     Document Type: Article
Times cited : (19)

References (16)
  • 1
    • 33847216878 scopus 로고    scopus 로고
    • Prediction of water pipe asset life using neural networks
    • Achim, D., Ghotb, F. & McManus, K. J. 2007 Prediction of water pipe asset life using neural networks. Journal of Infrastructure Systems 13 (1), 26-30.
    • (2007) Journal of Infrastructure Systems , vol.13 , Issue.1 , pp. 26-30
    • Achim, D.1    Ghotb, F.2    McManus, K.J.3
  • 2
    • 0035576640 scopus 로고    scopus 로고
    • Assessment of infrastructure inspection needs using logistic models
    • Ariaratnam, S. T., El-Assaly, A. & Yang, Y. 2001 Assessment of infrastructure inspection needs using logistic models. Journal of Infrastructure Systems 7 (4), 160-165.
    • (2001) Journal of Infrastructure Systems , vol.7 , Issue.4 , pp. 160-165
    • Ariaratnam, S.T.1    El-Assaly, A.2    Yang, Y.3
  • 3
    • 31144448600 scopus 로고    scopus 로고
    • Estimating transition probabilities in Markov chain-based deterioration models for management of wastewater systems
    • Baik, H.-S., Jeong, H.S. & Abraham, D. M. 2006 Estimating transition probabilities in Markov chain-based deterioration models for management of wastewater systems. Journal of Water Resources Planning and Management 132 (1), 15-24.
    • (2006) Journal of Water Resources Planning and Management , vol.132 , Issue.1 , pp. 15-24
    • Baik, H.-S.1    Jeong, H.S.2    Abraham, D.M.3
  • 4
    • 51849140836 scopus 로고    scopus 로고
    • Infrastructure condition prediction models for sustainable sewer pipelines
    • Chughtai, F. & Zayed, T. 2008 Infrastructure condition prediction models for sustainable sewer pipelines. Journal of Performance of Constructed Facilities 22 (5), 333-341.
    • (2008) Journal of Performance of Constructed Facilities , vol.22 , Issue.5 , pp. 333-341
    • Chughtai, F.1    Zayed, T.2
  • 5
    • 84875976463 scopus 로고    scopus 로고
    • Risky business: Quantifying risk is fundamental to any physical asset management program
    • May (accessed 7 December 2012)
    • Lovely, R. 2010 Risky business: quantifying risk is fundamental to any physical asset management program. Florida Water Resources Journal. May, 62-65. https://www.fwrj.com/ techarticles/0510%20tech4.pdf (accessed 7 December 2012).
    • (2010) Florida Water Resources Journal , pp. 62-65
    • Lovely, R.1
  • 7
    • 84875979367 scopus 로고    scopus 로고
    • NM-EFC New Mexico Environmental Finance Center (NM-EFC), Albuquerque, NM, USA (accessed 7 December 2012)
    • NM-EFC 2006 Asset Management: A Guide For Water and Wastewater Systems. New Mexico Environmental Finance Center (NM-EFC), Albuquerque, NM, USA. http://www.nmenv.state.nm.us/dwb/assistance/documents/ AssetManagementGuide.pdf (accessed 7 December 2012).
    • (2006) Asset Management: A Guide for Water and Wastewater Systems
  • 12
    • 80053340276 scopus 로고    scopus 로고
    • Using real age as a better indicator of predicting asset remaining life
    • Seattle, Washington, July
    • Syachrani, S., Jeong, H. S. & Chung, C. S. 2011b Using real age as a better indicator of predicting asset remaining life. In: Proceedings of the ASCE Pipelines Conference, Seattle, Washington, July 23-27.
    • (2011) Proceedings of the ASCE Pipelines Conference , pp. 23-27
    • Syachrani, S.1    Jeong, H.S.2    Chung, C.S.3
  • 13
    • 35548972565 scopus 로고    scopus 로고
    • Neural networks deterioration models for serviceability condition of buried stormwater pipes
    • Tran, D. H., Ng, A. W. M. & Perera, B. J. C. 2007 Neural networks deterioration models for serviceability condition of buried stormwater pipes. Engineering Applications of Artificial Intelligence 20 (8), 1144-1151.
    • (2007) Engineering Applications of Artificial Intelligence , vol.20 , Issue.8 , pp. 1144-1151
    • Tran, D.H.1    Ng, A.W.M.2    Perera, B.J.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.