Maintenance optimization for a system with a gamma deterioration process and intervention delay: Application to track maintenance

By C. Meier-Hirmer, G. Riboulet, F. Sourget, Michel Roussignol. 2009

100 citations recorded by the source corpus.

Subfields: Accounting, Safety, Risk, Reliability and Quality, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5ca4635297152a5a2e7a28ba21230a082f7e1340

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety, Risk, Reliability and Quality

1. Maurizio Guida
2. Massimiliano Giorgio
3. Gianpaolo Pulcini

In Statistics and Probability

1. Maurizio Guida
2. Massimiliano Giorgio
3. Michel Roussignol
4. Gianpaolo Pulcini

Citations in the corpus

• An age- and state-dependent Markov model for degradation processes (2011, methodology): “…the A&SDNB model reduces to a homogeneous Markov chain with independent increments (hereafter called the HNB model), which is equivalent to a gamma process with independent and stationary increments (see, for example, the recent applications in Huynh et al. (2009) and Meier-Hirmer et al. (2009)).”
• Bivariate Gamma wear processes for track geometry modelling, with application to intervention scheduling (2012, methodology): “The parameter estimation of a univariate Gamma process is usually done by maximising the likelihood function (see e.g. (Meier-Hirmer et al. 2009)).”