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Volumn 9, Issue 4-5 SPEC., 2002, Pages 203-215

Multiple fault identification method in the frequency domain for rotor systems

Author keywords

Identification; Multiple faults; Residue map; Rotordynamics

Indexed keywords

COMPUTER SIMULATION; FAILURE ANALYSIS; FREQUENCY DOMAIN ANALYSIS; MATHEMATICAL MODELS; MEASUREMENT ERRORS; ROTORS;

EID: 0036907557     PISSN: 10709622     EISSN: None     Source Type: Journal    
DOI: 10.1155/2002/749259     Document Type: Article
Times cited : (7)

References (14)
  • 5
    • 0002294673 scopus 로고    scopus 로고
    • Model based fault identification in rotor systems by least squares fitting
    • ISBN 0-9652469-9-X, 26-30 March
    • R. Markert, R. Platz and M. Siedler, Model Based Fault Identification in Rotor Systems by Least Squares Fitting, Proc. of ISROMAC-8 Conference, Honolulu, Hawaii, ISBN 0-9652469-9-X, 26-30 March 2000, pp. 901-915.
    • (2000) Proc. of ISROMAC-8 Conference, Honolulu, Hawaii , pp. 901-915
    • Markert, R.1    Platz, R.2    Siedler, M.3
  • 11
    • 0033650314 scopus 로고    scopus 로고
    • Accuracy of modelling and identification of malfunctions in rotor systems: Experimental results
    • ISSN 0100-7386
    • N. Bachschmid, P. Pennacchi, E. Tanzi and A. Vania, Accuracy of Modelling and Identification of Malfunctions in Rotor Systems: Experimental Results, Journal of the Brazilian Society of Mechanical Sciences XXII(3) (2000), ISSN 0100-7386, pp. 423-442.
    • (2000) Journal of the Brazilian Society of Mechanical Sciences , vol.22 , Issue.3 , pp. 423-442
    • Bachschmid, N.1    Pennacchi, P.2    Tanzi, E.3    Vania, A.4
  • 14
    • 0037419479 scopus 로고    scopus 로고
    • Identification of multiple faults in rotor systems
    • N. Bachschmid, P. Pennacchi and A. Vania, Identification of Multiple Faults in Rotor Systems, to be printed on Journal of Sound and Vibration 254(2) (2002), 327-366.
    • (2002) Journal of Sound and Vibration , vol.254 , Issue.2 , pp. 327-366
    • Bachschmid, N.1    Pennacchi, P.2    Vania, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.