Proportional Hazard Modelling in the Analysis of Transmission Failure Statistics

作者: S. J. Argent , A. Bendell , P. T. Manning , J. Marshall , S. G. Ryan

DOI: 10.1007/978-3-642-82773-0_63

关键词:

摘要: The Central Electricity Generating Board (CEGB) has a comprehensive databank of electricity transmission equipment failure and repair data. structure the data is not purely random in time as failures tend to be correlated with external causes (e.g. weather effects), it important that understood before utilised reliability models. Proportional Hazard Modelling (PHM) powerful technique for exploring ensure appropriate modelling techniques are utilised.

参考文章(10)
D. R. Cox, E. J. Snell, A General Definition of Residuals Journal of the Royal Statistical Society: Series B (Methodological). ,vol. 30, pp. 248- 265 ,(1968) , 10.1111/J.2517-6161.1968.TB00724.X
S.J. Argent, S.G. Ryan, An analysis of supergrid transmission fault data in a specific area of England and Wales Reliability Engineering. ,vol. 12, pp. 205- 216 ,(1985) , 10.1016/0143-8174(85)90043-5
DAVID SCHOENFELD, Partial residuals for the proportional hazards regression model Biometrika. ,vol. 69, pp. 239- 241 ,(1982) , 10.1093/BIOMET/69.1.239
D.W. Wightman, A. Bendell, The practical application of proportional hazards modelling Reliability Engineering. ,vol. 15, pp. 29- 53 ,(1986) , 10.1016/0143-8174(86)90053-3
A. Bendell, L. A. Walls, Exploring reliability data Quality and Reliability Engineering International. ,vol. 1, pp. 37- 51 ,(1985) , 10.1002/QRE.4680010108
John P. Klein, The Statistical Analysis of Failure Time Data Technometrics. ,vol. 24, pp. 251- 251 ,(1982) , 10.1080/00401706.1982.10487769
Kevin C. Cain, Nicholas T. Lange, Approximate case influence for the proportional hazards regression model with censored data. Biometrics. ,vol. 40, pp. 493- 499 ,(1984) , 10.2307/2531402
B. Francis, J. F. Lawless, Statistical Models and Methods for Lifetime Data. Biometrics. ,vol. 39, pp. 820- ,(1983) , 10.2307/2531129