NDLI: On the Estimation of Failure Rates of Multiple Pipeline Systems

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Caleyo, F. Alfonso, L. Alca´ntara, J. A. Hallen, J. M. Lagos, F. Ferna´ndez Chow, H.
Copyright Year	2006
Abstract	In this work, the statistical methods for the reliability of repairable systems have been used to produce a methodology capable to estimate the annualized failure rate of a pipeline population from the historical failure data of multiple pipelines systems. The proposed methodology provides point and interval estimators of the parameters of the failure intensity function for two of the most commonly applied stochastic models; the homogeneous Poisson process and the power law process. It also provides statistical tests to assess the adequacy of the stochastic model assumed for each system and to test whether all systems have the same model parameters. In this way, the failure data of multiple pipeline systems are only pooled to produce a generic failure intensity function when all systems follow the same stochastic model. This allows addressing both statistical and tolerance uncertainty adequately. The proposed methodology is outlined and illustrated using real life failure data of multiple oil and gas pipeline systems.
Sponsorship	Pipeline Division
Starting Page	1107
Ending Page	1115
Page Count	9
File Format	PDF
ISBN	0791842630
DOI	10.1115/IPC2006-10526
Volume Number	Volume 3: Materials and Joining; Pipeline Automation and Measurement; Risk and Reliability, Parts A and B
Conference Proceedings	2006 International Pipeline Conference
Language	English
Publisher Date	2006-09-25
Publisher Place	Calgary, Alberta, Canada
Access Restriction	Subscribed
Subject Keyword	Uncertainty Pipeline systems Failure data Reliability Pipelines Failure
Content Type	Text
Resource Type	Article

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