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HMMRel  

Hidden Markov Models for Reliability and Maintenance
View on CRAN: Click here


Download and install HMMRel package within the R console
Install from CRAN:
install.packages("HMMRel")

Install from Github:
library("remotes")
install_github("cran/HMMRel")

Install by package version:
library("remotes")
install_version("HMMRel", "0.1.0")



Attach the package and use:
library("HMMRel")
Maintained by
M.L. Gamiz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-15
Latest Update: 2024-11-19
Description:
Reliability Analysis and Maintenance Optimization using Hidden Markov Models (HMM). The use of HMMs to model the state of a system which is not directly observable and instead certain indicators (signals) of the true situation are provided via a control system. A hidden model can provide key information about the system dependability, such as the reliability of the system and related measures. An estimation procedure is implemented based on the Baum-Welch algorithm. Classical structures such as K-out-of-N systems and Shock models are illustrated. Finally, the maintenance of the system is considered in the HMM context and two functions for new preventive maintenance strategies are considered. Maintenance efficiency is measured in terms of expected cost.Maintenance efficiency is measured in terms of expected cost. Methods are described in Gamiz, Limnios, and Segovia-Garcia (2023) <doi:10.1016/j.ejor.2022.05.006>.
How to cite:
M.L. Gamiz (2024). HMMRel: Hidden Markov Models for Reliability and Maintenance. R package version 0.1.0, https://cran.r-project.org/web/packages/HMMRel. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2024-11-15 10:00)
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Complete documentation for HMMRel
Functions, R codes and Examples using the HMMRel R package
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