A new method for maintenance management employing principal component analysis

SDHM Structural Durability and Health Monitoring

Volumn 6, Issue 2, 2010, Pages 89-99

  Márquez, Fausto Pedro García ^a  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

Author keywords

Maintenance management; Point mechanisms; Principal component analysis; Railway transport system; Tournouts

Indexed keywords

MAINTENANCE MANAGEMENT; POINT MECHANISMS; PRINCIPAL COMPONENTS; RAILWAY TRANSPORT; TOURNOUTS;

GRAPHIC METHODS; LINEAR TRANSFORMATIONS; MAINTENANCE; RAILROAD TRANSPORTATION; RAILROADS; RAILS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 78449303191     PISSN: 19302983     EISSN: 19302991     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. Fry K. (1999): The Importance of Condition Monitoring in Providing Fault-Free Infrastructure. Fault-Free Infrastructure Conference, Derby, U.K.. pp. 17-25. Professional Engineering Publishing Limited.
2. García Márquez F.P., Pedregal D.J., Roberts C. (2010): Time Series Methods Applied to Failure Prediction and Detection. Reliability Engineering &System Safety, vol. 95(6), pp. 698-703.
3. García Márquez F.P., Roberts C., Tobias A. (2010): Railway Point Mechanisms: Condition Monitoring and Fault Detection. Proceedings of the Institution of Mechanical Engineers, Part F, Journal of Rail and Rapid Transit. Professional Engineering Publishing, vol. 224(1), pp. 35-44.
4. García Márquez F.P., Schmid F., Collado J.C. (2003): Wear assessment employing remote condition monitoring: A case study. Wear, vol. 255(7-12), pp. 1209-1220.
5. García Márquez, F.P., Schmid, F. (2007): A digital filter-based approach to the remote condition monitoring of railway turnouts. Reliability Engineering and System Safety, vol. 92, pp. 830-840.,
6. García Márquez, F.P., Lewis, R.W., Tobias, A.M., Roberts, C. (2008): Life Cycle Costs for Railway Condition Monitoring. Transportation Research part E, vol. 44, pp. 1175-1187.
7. García Márquez, F.P., Schmid F., Collado J.C. (2003): A reliability centered approach to remote condition monitoring. A railway points case study. Reliability Engineering &System Safety, vol. 80(1), pp. 33-40.
8. Jolliffe I.T. (1986): Principal Component Analysis. New York Inc: Springer- Verlag.
9. McHutchon M.A., Staszewski W.J., Schmid F. (2005): Signal Processing for Remote Condition Monitoring of Railway Points, International Journal of Strain Measurement, vol. 41(2), pp. 71-85.
10. Pedregal D.J., García Márquez, F.P.; Schmid, F. (2004): RCM2 predictive maintenance of railway systems based on unobserved components models. Reliability Engineering &System Safety, vol. 83(1), pp. 103-110.
11. Roberts C., Dassanayake H.P.B., Lehrasab N., Goodman C.J. (2002): Distributed quantitative and qualitative fault diagnosis: railway junction case study, Control Engineering Practice, 10, pp. 419-429.
12. Shimonae T., Kawakami T., Miki H., Matsuda O., Tekeuchi H. (1991): Development of a monitoring system for electric point machines. IRSE Aspect Int Conf, 395-401.
13. Venkatasubramanian, V., Vaidyanathan, R., Yamamoto, Y. (1990): Process fault detection and diagnosis using neural networks I: Steady state processes. Computers and Chemical Engineering 14(7), 699-712.
14. Zattoni, E. (2006): Detection of incipient failures by using an H2-norm criterion: Application to railway switching points. Control Engineering Practice, vol. 14(8), pp. 885-895.
15. Zhou F.B., Archer N., Bowles J., Duta M., Henry M., Tombs M., Zamora M., Baker S., Burton C. (2002): Remote condition monitoring and validation of railway points, Computing &Control Engineering Journal, vol. 13(5), pp 221-230. (Pubitemid 35313709)