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Volumn , Issue , 2010, Pages 701-706

A new PCA adaptive rough fuzzy cluster based granulation algorithm for fault detection and diagnosis

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER-BASED; CLUSTER-MERGING; CLUSTERING METHODS; DATA SETS; FAULT DETECTION AND DIAGNOSIS; FUZZY CLUSTERS; FUZZY MEMBERSHIP FUNCTION; FUZZY MEMBERSHIP VALUES; HIDDEN STRUCTURES; LINGUISTIC PROPERTIES; MULTIVARIATE TIME SERIES; PROCESS PLANTS; ROUGH SET; TENNESSEE EASTMAN; UPPER AND LOWER APPROXIMATION;

EID: 78649432003     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCA.2010.5611254     Document Type: Conference Paper
Times cited : (3)

References (13)
  • 2
  • 3
    • 9644270328 scopus 로고    scopus 로고
    • Modified Gath-Geva Clustering for fuzzy segmentation of multivariate time-series
    • Janos Abonyi, Balazs Feil, Sandor Nemeth, Peter Arva, Modified Gath-Geva clustering for fuzzy segmentation of multivariate time-series, Fuzzy Sets and Systems 149 (2005) 39-56.
    • (2005) Fuzzy Sets and Systems , vol.149 , pp. 39-56
    • Abonyi, J.1    Feil, B.2    Nemeth, S.3    Arva, P.4
  • 5
    • 0037332850 scopus 로고    scopus 로고
    • Nonconvex clustering using expectation maximization algorithm with rough set initialization
    • Pabitra Mitra, Sankar K. Pal, Md Aleemuddin Siddiqi, Nonconvex clustering using expectation maximization algorithm with rough set initialization Pattern Recognition Letters 24 (2003) 863-873.
    • (2003) Pattern Recognition Letters , vol.24 , pp. 863-873
    • Mitra, P.1    Pal, S.K.2    Aleemuddin Siddiqi, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.