DocumentCode :
1984788
Title :
Failure diagnostics for railway point machines using expert systems
Author :
Atamuradov, V. ; Camci, F. ; Baskan, S. ; Sevkli, M.
Author_Institution :
Dept. of Comput. Eng., Fatih Univ., Istanbul, Turkey
fYear :
2009
fDate :
Aug. 31 20096-Sept. 3 2009
Firstpage :
1
Lastpage :
5
Abstract :
Maintenance is an inevitable reality in industry. Maintenance of a system usually involves maintenance of multiple components with multiple failure modes, each of which may require different maintenance policy (i.e., corrective (CM), preventive (PM), or condition based maintenance (CBM)). A maintenance policy may be best for one component and the worst for the other (CM may be best for a very cheap and non-critical component and the worst for a critical one). This paper presents an economical analysis method that identifies the best maintenance policy for a failure mode and/or component of a system.
Keywords :
economics; expert systems; failure analysis; maintenance engineering; railways; economical analysis; expert systems; failure diagnostics; maintenance policy; multiple component maintenance; multiple failure modes; railway point machines; Clustering algorithms; Control systems; Diagnostic expert systems; Fault diagnosis; Phase measurement; Rail transportation; Remote monitoring; Signal analysis; Smoothing methods; Time series analysis; Diagnostics; Expert Systems; Railway Turnouts; Time Series Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Diagnostics for Electric Machines, Power Electronics and Drives, 2009. SDEMPED 2009. IEEE International Symposium on
Conference_Location :
Cargese
Print_ISBN :
978-1-4244-3441-1
Type :
conf
DOI :
10.1109/DEMPED.2009.5292755
Filename :
5292755
Link To Document :
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