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Reliability Growth Analysis

Source: vignettes/RGA.Rmd
RGA.Rmd

To run a Reliability Growth Analysis, start by loading ReliaGrowR and WeibullR.plotly

Crow-AMSAA Model

To run a Crow-AMSAA model, first set up some cumulative time and failure data:

times <- c(100, 200, 300, 400, 500)
failures <- c(1, 2, 1, 3, 2)

Then run the rga and plot the results:

result <- rga(times, failures)
plotly_rga(result)

Piecewise Weibull NHPP Model

To run a Piecewise Weibull NHPP, first set up some cumulative time/failure data and specify the breakpoint:

times <- c(25, 55, 97, 146, 201, 268, 341, 423, 513, 609, 710, 820, 940, 1072, 1217)
failures <- c(1, 1, 2, 4, 4, 1, 1, 2, 1, 4, 1, 1, 3, 3, 4)
breakpoints <- 600

Then run the rga and plot the results:

result <- rga(times, failures, model_type = "Piecewise Weibull NHPP", breakpoints = breakpoints)
plotly_rga(result, fitCol = "blue", confCol = "blue", breakCol = "red")

Duane Model

To run a Duane Model, first set up some cumulative time and failure data:

times <- c(100, 200, 300, 400, 500)
failures <- c(1, 2, 1, 3, 2)

Then plot the results:

fit <- duane_plot(times, failures, plot = FALSE)
plotly_duane(fit, fitCol = "darkgreen")