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Volumn , Issue , 2014, Pages 159-166

The selection procedure of diagnostic indicator of suspension fault modes for the rail vehicles monitoring system

Author keywords

Condition monitoring; Rail vehicle; Signal analysis; Suspension

Indexed keywords

AMPHIBIOUS VEHICLES; AUTOMOBILE SUSPENSIONS; CONDITION MONITORING; DAMAGE DETECTION; FAULT DETECTION; MAGNETIC LEVITATION VEHICLES; RAIL MOTOR CARS; SIGNAL ANALYSIS; STRUCTURAL HEALTH MONITORING; SUSPENSIONS (FLUIDS); VEHICLES;

EID: 84939437056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (14)
  • 5
    • 84864671529 scopus 로고    scopus 로고
    • Rail vehicle's suspension monitoring system-analysis of results obtained from tests of the prototype
    • R. Melnik, M. Kostrzewski. Rail Vehicle's Suspension Monitoring System-Analysis Of Results Obtained From Tests Of The Prototype, Key Engineering Materials Vol. 518, 2012, pp 281-288. DOI: 10.4028/www.scientific.net/KEM.518.281
    • (2012) Key Engineering Materials , vol.518 , pp. 281-288
    • Melnik, R.1    Kostrzewski, M.2
  • 6
    • 84875651600 scopus 로고    scopus 로고
    • A review on dimension reduction
    • April
    • Y. Ma., L. Zhu L. A Review on Dimension Reduction, International Statistical Review, Volume 81, Issue 1, April 2013, pp. 134-150. DOI: 10.1111/j.1751-5823.2012.00182.x
    • (2013) International Statistical Review , vol.81 , Issue.1 , pp. 134-150
    • Ma, Y.1    Zhu, L.2
  • 7
    • 57049146908 scopus 로고    scopus 로고
    • University College Dublin, Technical Report UCD-CSI-2007-7
    • P. Cunningham. Dimension Reduction. University College Dublin, Technical Report UCD-CSI-2007-7, 2007.
    • (2007) Dimension Reduction
    • Cunningham, P.1
  • 9
    • 0013326060 scopus 로고    scopus 로고
    • Feature selection for classification
    • M. Dash, H. Liu. Feature Selection for Classification, Intelligent Data Analysis 1 Issues 1-4, 1997, pp. 131-156
    • (1997) Intelligent Data Analysis , vol.1 , Issue.1-4 , pp. 131-156
    • Dash, M.1    Liu, H.2
  • 10
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • I. Guyon. An Introduction to Variable and Feature Selection, Journal of Machine Learning Research 3, 2003, pp. 1157-1182.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1157-1182
    • Guyon, I.1
  • 14
    • 58149184003 scopus 로고    scopus 로고
    • Fault detection and isolation with robust principal component analysis
    • Y. Tharrault, G. Mourot, J. Ragot, D. Maquin. Fault Detection and Isolation with Robust Principal Component Analysis, Int. J. Appl. Math. Comput. Sci., Vol. 18, No. 4, 2008, pp. 429-442. DOI: 10.2478/v10006-008-0038-3
    • (2008) Int. J. Appl. Math. Comput. Sci , vol.18 , Issue.4 , pp. 429-442
    • Tharrault, Y.1    Mourot, G.2    Ragot, J.3    Maquin, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.