RF-R (Random Forests for Repairable System Reliability)

Also see Readme.R

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This file provides a simple description on the R code of the RF-R algorithm

Last update: 12/11/2018

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The code is based on the paper:

#"Analysis of Large Heterogeneous Repairable System Reliability Data with Static System Attributes and Dynamic Sensor Measurement in Big Data Environment"

Available at ArXiv: ***

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Data

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Data set is too big to be uploaded to GitHub (with 25Mb size limit)

Data are available from my Google Drive (https://drive.google.com/file/d/1z_DdNrHdX6zF844SfEfqt3ZOqClFoTF4/view?usp=drive_web)

Two sample data sets are provided

The folder Example1 contains "dataset A" in the paper

The folder Example1b contains "dataset B" in the paper

The folder CaseStudy1 contains cast study data in the paper

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The main R code

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"RF-R-MCF.R" is the code that handles ONLY the static sytem attributes

"RF-R.R": Random Forests for Repairable System Reliability Analysis

*This version of code handles both the static system attributes and dynamic sensor measurement

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The main R code

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Dependencies: SNOW (Simple Network of Workstations) package in R for parallel computing

It is highly recommended to run the code on HPC facilities, especially for large data sets