Fault Detection of Railway Point Machine Using Diagnostic Models-Reference-Cited by-同舟云学术

Fault Detection of Railway Point Machine Using Diagnostic Models

Published:2017-09-06 Issue: Volume: Page:275-285
ISSN:2363-698X
Container-title:Applied Condition Monitoring
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Author:

Fidali Marek,Wojciechowski Paweł,Pełka Aleksander

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-62042-8_25

Reference8 articles.

1. Bombardier (2016) http://www.bombardier.com/content/dam/Websites/bombardiercom/supporting-documents/Sustainability/Reports/BT/Bombardier-Transportation-EPD-EBI-Switch-2000-en.pdf . Accessed 24 Aug 2016

2. Daunoras J, Gargasas V, Knys A (2010) Evaluation of railway switch drive operating condition using control current features. Electron Electr Eng 10(106):71–74

3. Hagenblad A, Ljung L (1998) Maximum likelihood identification of wiener models with a linear regression initialization. In: Proceedings of 37th IEEE conference on decision and control, USA

4. Korbicz J, Kościelny J, Kowalczuk Z, Cholewa W (eds) (2004) Fault diagnosis. Models, artificial intelligence, applications. Springer, Berlin

5. Ljung L (2000) System identification toolbox user’s guides. The Mathworks

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