Precision of power-law NHPP estimates for multiple systems with known failure rate scaling

Jozef Van Dyck and Tim Verdonck

Reliability Engineering and System Safety, 2014, vol. 126, issue C, 143-152

Abstract: The power-law non-homogeneous Poisson process, also called the Crow-AMSAA model, is often used to model the failure rate of repairable systems. In standard applications it is assumed that the recurrence rate is the same for all systems that are observed. The estimation of the model parameters on the basis of past failure data is typically performed using maximum likelihood. If the operational period over which failures are observed differs for each system, the Fisher information matrix is numerically inverted to quantify the precision of the parameter estimates.

Keywords: Repairable system; Crow-AMSAA model; ROCOF; Standard error; Maximum likelihood (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:126:y:2014:i:c:p:143-152

DOI: 10.1016/j.ress.2014.01.019

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