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Volumn 33, Issue , 2013, Pages 715-720

Anticipating railway operation disruption events based on the analysis of discrete-event diagnostic data

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; FUZZY LOGIC; OPERATING COSTS; RAILROADS; RELIABILITY; TRANSPORTATION;

EID: 84883818064     PISSN: 22839216     EISSN: 22839216     Source Type: Journal    
DOI: 10.3303/CET1333120     Document Type: Conference Paper
Times cited : (3)

References (15)
  • 4
    • 84995289379 scopus 로고    scopus 로고
    • Predicting potential railway operations disruptions caused by critical component failure using echo state neural networks and automatically collected diagnostic data
    • Fink O., Nash A., Weidmann U. 2013, Predicting Potential Railway Operations Disruptions Caused by Critical Component Failure Using Echo State Neural Networks and Automatically Collected Diagnostic Data, Transportation Research Record: Journal of the Transportation Research Board
    • (2013) Transportation Research Record: Journal of the Transportation Research Board
    • Fink, O.1    Nash, A.2    Weidmann, U.3
  • 5
    • 33846382724 scopus 로고    scopus 로고
    • A digital filter-based approach to the remote condition monitoring of railway turnouts
    • Garcia Marquez F. P., Schmid F. 2007, A Digital Filter-Based Approach to the Remote Condition Monitoring of Railway Turnouts, Reliability Engineering & System Safety 92 (6): 830-840.
    • (2007) Reliability Engineering & System Safety , vol.92 , Issue.6 , pp. 830-840
    • Garcia Marquez, F.P.1    Schmid, F.2
  • 6
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • Hinton G. E., Osindero S., Teh Y.-W. 2006, A Fast Learning Algorithm for Deep Belief Nets, Neural Computation 18 (7): 1527-1554.
    • (2006) Neural Computation , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.-W.3
  • 7
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for nonorthogonal problems
    • Hoerl A. E., Kennard R. W. 1970, Ridge Regression: Biased Estimation for Nonorthogonal Problems, Technometrics 12 (1): 55-67.
    • (1970) Technometrics , vol.12 , Issue.1 , pp. 55-67
    • Hoerl, A.E.1    Kennard, R.W.2
  • 8
    • 33749833931 scopus 로고    scopus 로고
    • GMD Report 159, German National Research Center for Information Technology
    • Jaeger H. 2005, Tutorial on Training Recurrent Neural Networks, GMD Report 159, German National Research Center for Information Technology
    • (2005) Tutorial on Training Recurrent Neural Networks
    • Jaeger, H.1
  • 10
    • 33644693593 scopus 로고    scopus 로고
    • System reliability forecasting by support vector machines with genetic algorithms
    • Pai P.-F. 2006, System Reliability Forecasting by Support Vector Machines with Genetic Algorithms, Mathematical and Computer Modelling 43 (3-4): 262-274.
    • (2006) Mathematical and Computer Modelling , vol.43 , Issue.3-4 , pp. 262-274
    • Pai, P.-F.1
  • 11
    • 84883822324 scopus 로고    scopus 로고
    • Advanced techniques for monitoring the condition of mission-critical railway equipment
    • F. Flamini, Hershey PA, Information Science Reference
    • Roberts C., Silmon J. 2012, Advanced Techniques for Monitoring the Condition of Mission-Critical Railway Equipment, Railway Safety, Reliability, and Security: Technologies and Systems Engineering, F. Flamini, Hershey PA, Information Science Reference 341-354.
    • (2012) Railway Safety, Reliability, and Security: Technologies and Systems Engineering , pp. 341-354
    • Roberts, C.1    Silmon, J.2
  • 14
    • 0015558134 scopus 로고
    • Outline of a new approach to the analysis of complex systems and decision processes
    • Zadeh L. A. 1973, Outline of a New Approach to the Analysis of Complex Systems and Decision Processes, IEEE Transactions on Systems, Man and Cybernetics (1): 28-44.
    • (1973) IEEE Transactions on Systems, Man and Cybernetics , Issue.1 , pp. 28-44
    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.