Hi, I need help to simulate data to model pump's failure. Below is thought process to simulate the data: - For each Pump readings are captured via sensors each minute for period of 3 months. There are 10 pumps in total. - The failure rate or occurrences of event in 3 months for each Pump is defined. i.e Pump1 would fail 3 times in 3 months, Pump2 would fail 2 times in 3 months, etc. - The failure modes are defined based on the combination of below variables: Failure modes:: -- Bearing damage --> +ve_corr('temprature' + vibration) -- Cavitation --> -ve_corr( +ve_corr(discharge_pressure + flow) + temprature) -- worn shafts --> +ve_corr(discharge_pressure + flow)
How should I be generate distributions for the variables listed in the "failure modes" maintaining the correlation stated above. Regards, Sunny [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.