survival (version 3.6-4)

reliability: Reliability data sets

Description

A set of data for simple reliablility analyses, taken from the book by Meeker and Escobar.

Usage

data(reliability, package="survival")

Arguments

Details

  • capacitor: Data from a factorial experiment on the life of glass capacitors as a function of voltage and operating temperature. There were 8 capacitors at each combination of temperature and voltage. Testing at each combination was terminated after the fourth failure.

    • temperature: temperature in degrees celcius

    • voltage: applied voltage

    • time: time to failure

    • status: 1=failed, 0=censored

  • cracks: Data on the time until the development of cracks in a set of 167 identical turbine parts. The parts were inspected at 8 selected times.

    • day: time of inspection

    • fail: number of fans found to have cracks, at this inspection

  • Data set genfan: Time to failure of 70 diesel engine fans.

    • hours: hours of service

    • status: 1=failure, 0=censored

    Data set ifluid: A data frame with two variables describing the time to electrical breakdown of an insulating fluid.

    • time: hours to breakdown

    • voltage: test voltage in kV

  • Data set imotor: Breakdown of motor insulation as a function of temperature.

    • temp: temperature of the test

    • time: time to failure or censoring

    • status: 0=censored, 1=failed

  • Data set turbine: Each of 432 turbine wheels was inspected once to determine whether a crack had developed in the wheel or not.

    • hours: time of inspection (100s of hours)

    • inspected: number that were inspected

    • failed: number that failed

  • Data set valveSeat: Time to replacement of valve seats for 41 diesel engines. More than one seat may be replaced at a particular service, leading to duplicate times in the data set. The final inspection time for each engine will have status=0.

    • id: engine identifier

    • time: time of the inspection, in days

    • status: 1=replacement occured, 0= not

References

Meeker and Escobar, Statistical Methods for Reliability Data, 1998.

Examples

Run this code
survreg(Surv(time, status) ~ temperature + voltage, capacitor)

# Replacement of valve seats.  In this case the cumulative hazard is the 
#  natural target, an estimate of the number of replacements by a given time
#  (known as the cumulative mean function = CMF in relability).
# When two valve seats failed at the same inspection, we need to jitter one
#  of the times, to avoid a (time1, time2) interval of length 0
ties <- which(with(valveSeat, diff(id)==0 & diff(time)==0))  #first of a tie
temp <- valveSeat$time
temp[ties] <- temp[ties] - .1 # jittered time
vdata <- valveSeat
vdata$time1 <- ifelse(!duplicated(vdata$id), 0, c(0, temp[-length(temp)]))
vdata$time2 <- temp
fit2 <- survfit(Surv(time1, time2, status) ~1, vdata, id=id)
if (FALSE) {
plot(fit2, cumhaz= TRUE, xscale= 365.25, 
      xlab="Years in service", ylab = "Expected number of repairs")
}

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