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Volumn 55, Issue 5-8, 2011, Pages 699-707

PCA-based fault isolation and prognosis with application to pump

Author keywords

Fault isolation; Fault prognosis; Principal component analysis; Rotating machinery

Indexed keywords

DATA SETS; FAULT ISOLATION; FAULT PROGNOSIS; FAULT SCENARIOS; FAULTY OPERATIONS; GAUSSIAN KERNELS; KERNEL PCA; PCA DOMAIN; PRINCIPAL COMPONENTS; SEAL FAILURE; VECTOR PROJECTION; WATER PUMP;

EID: 79958819272     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-010-3096-2     Document Type: Article
Times cited : (29)

References (11)
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    • (2004) IECON Proceedings (Industrial Electronics Conference) , vol.3 , pp. 2594-2599
    • Tien, D.X.1    Lim, K.-W.2    Jun, L.3
  • 4
    • 0030105341 scopus 로고    scopus 로고
    • Process performance monitoring using multivariate statistical process control
    • Martin EB, Morris AJ, Zhang J (1996) Process performance monitoring using multivariate statistical process control. IEE Proceedings on Control Theory and Applications 143(2):132-144 (Pubitemid 126760885)
    • (1996) IEE Proceedings: Control Theory and Applications , vol.143 , Issue.2 , pp. 132-144
    • Martin, E.B.1    Morris, A.J.2    Zhang, J.3
  • 6
    • 38048999891 scopus 로고    scopus 로고
    • Machine condition monitoring by nonlinear feature fusion based on kernel principal component analysis with genetic algorithm
    • Aug 24-27
    • Wang F, Cheng B, Cao B (2007) Machine condition monitoring by nonlinear feature fusion based on kernel principal component analysis with genetic algorithm. Proc. of the Third International Conference on Natural Computation 2:665-670, Aug 24-27
    • (2007) Proc. of the Third International Conference on Natural Computation , vol.2 , pp. 665-670
    • Wang, F.1    Cheng, B.2    Cao, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.