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Volumn , Issue , 2007, Pages 1270-1274

Separation of corona noise from on-line partial discharge monitoring of power cables

Author keywords

Clustering analysis; Condition monitoring; Corona; HF CT; PCA; PD

Indexed keywords

CABLES; DISCHARGE (FLUID MECHANICS); ELECTRIC CORONA; ELECTRIC POWER SYSTEMS; FINANCIAL DATA PROCESSING; FLUID MECHANICS; MAINTENANCE; MONITORING; PARTIAL DISCHARGES; PRINCIPAL COMPONENT ANALYSIS; SEPARATION; TELECOMMUNICATION CABLES;

EID: 51849109510     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CMD.2008.4580208     Document Type: Conference Paper
Times cited : (5)

References (5)
  • 2
    • 43649094359 scopus 로고    scopus 로고
    • Separation of partial discharge data by analyzing pulse wave shapes
    • th International Con., pp. 365-367.
    • th International Con , pp. 365-367
    • Kim, J.T.1
  • 3
    • 34547308807 scopus 로고    scopus 로고
    • Traffic Data Analysis using Kernel PCA and Self-Organizing Map
    • Y. D. Chen, et al., "Traffic Data Analysis using Kernel PCA and Self-Organizing Map," in Proc. 2006 IEEE Intelligent Vehicles Symposium., pp. 472-477.
    • Proc. 2006 IEEE Intelligent Vehicles Symposium , pp. 472-477
    • Chen, Y.D.1
  • 4
    • 50849108485 scopus 로고    scopus 로고
    • Partial discharges analysis using PCA and SOM
    • presented at the, Lausanne, Switzerland
    • K. X. Lai, B. T. Phung, and T. R. Blackburn, "Partial discharges analysis using PCA and SOM," presented at the Power Tech 07 Conf., Lausanne, Switzerland, 2007.
    • (2007) Power Tech 07 Conf
    • Lai, K.X.1    Phung, B.T.2    Blackburn, T.R.3
  • 5
    • 0038746717 scopus 로고    scopus 로고
    • Advanced PD inference in on-field measurements I: Noise rejection
    • A. Cavallini, et al, "Advanced PD inference in on-field measurements I: Noise rejection," IEEE Trans. Dielectrics and Electrical Insulation, vol. 10, pp. 216-224, 2003.
    • (2003) IEEE Trans. Dielectrics and Electrical Insulation , vol.10 , pp. 216-224
    • Cavallini, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.