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Volumn , Issue , 2010, Pages 584-589

Condition monitoring of railway vehicle suspension using adaptive multiple model approach

Author keywords

Condition monitoring; Estimation; Fault detection; Kalman filter; Multiple model; Railway

Indexed keywords

DETECTION ALGORITHM; ESTIMATION MODELS; IN-VEHICLE; LATERAL ACCELERATION; LATERAL MOTION; MULTIPLE MODELS; ON-BOARD MEASUREMENTS; RAILWAY; RAILWAY VEHICLE SUSPENSIONS; RAILWAY VEHICLES; SIMULATION EXAMPLE; SIMULATION RESULT; SIMULATION STUDIES; VEHICLE BODY; VEHICLE SUSPENSION SYSTEMS; WHEELSETS; YAW MOTIONS; YAW RATE;

EID: 78751544117     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (38)

References (10)
  • 5
    • 34347246348 scopus 로고    scopus 로고
    • Control and monitoring for railway vehicle dynamics
    • S. Buruni, R. M. Goodall, T. X. Mei and H. Tsunashima, "Control and monitoring for railway vehicle dynamics", Vehicle System Dynamics, Vol. 45, No. 7-8, , pp.765-771, 2007.
    • (2007) Vehicle System Dynamics , vol.45 , Issue.7-8 , pp. 765-771
    • Buruni, S.1    Goodall, R.M.2    Mei, T.X.3    Tsunashima, H.4
  • 8
    • 0024057021 scopus 로고    scopus 로고
    • The Interacting Multiple Model Algorithm for System with Markovian Switching Coefficient
    • H. A. P. Blom and Y. Bar-Shalom, "The Interacting Multiple Model Algorithm for System with Markovian Switching Coefficient " , IEEE Trans Automatic Control, Vol. AC-33, No. 8, pp. 780-783, 1998.
    • (1998) IEEE Trans Automatic Control , vol.AC-33 , Issue.8 , pp. 780-783
    • Blom, H.A.P.1    Bar-Shalom, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.