IEEE - Institute of Electrical and Electronics Engineers, Inc. - Railway Point Machine Prognostics Based on Feature Fusion and Health State Assessment

Author(s): Vepa Atamuradov ; Kamal Medjaher ; Fatih Camci ; Pierre Dersin ; Noureddine Zerhouni
Sponsor(s): IEEE Instrumentation and Measurement Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1 - 14
ISSN (Electronic): 1557-9662
ISSN (Paper): 0018-9456
DOI: 10.1109/TIM.2018.2869193
Regular:

This paper presents a condition monitoring approach for point machine prognostics to increase the reliability, availability, and safety in railway transportation industry. The proposed approach is... View More

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