Quantifying and Modeling Photovoltaic Backsheet Cracking"

Data Description

A dataset of cracks in photovoltaic backsheets with inner layers of either ethylene-vinyl acetate or polyethylene exposed to 4,000 hours of continuous UVA irradiance with an intensity of 1.55 $w/m^2$ at 340 $nm$ and a chamber temperature of 70$^\circ$C. See the associated journal article in Polymer Degradation and Stability for details on obtaining quantitative crack measurements [@klinke_2018_non-destructive].

130 observations of 5 variables are included:

Load data and run code to build netSEM

## Load the crack data set and preview column metadata
data(crack)
?crack

## Run netSEM
ans <- netSEMm(crack)

## Subset dataset with three cutoffs
res <- subsetData(ans, cutoff=c(0.4, 0.5, 0.6))

## Plot the network model 
plot(ans, res)

Network diagram for data

dAvgNorm is the endogenous and all other variables are considered as exagenous. Based on the plot, the strongest pathway appears to be uva360dose $\rightarrow$ carb1715 $\rightarrow$ dAvgNorm. This can be confirmed using the pathwayRMSE() function.

knitr::include_graphics("crackplot.png")

References



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netSEM documentation built on May 2, 2019, 6:32 a.m.