Hi friends, I haven't done such a simulation before and any help would be greatly appreciated. I need your guidance.
I need to simulate end to end data for Reliability/survival analysis of a Pump ,with correlation in place, that is at 'Transactional level' or at the granularity of time-minutes, where each observation is a reading captured via Pump's sensors each minute. Once transactional data is prepared I Then need to summarise above data for reliability/ survival analysis. To begin with below is the transactional data format that i want prepare: Pump-id| Timestamp | temp | vibration | suction pressure| discharge pressure | Flow Above transactional data has to be prepared with below failure modes Defects : (1) Cavitation – very high in frequency but low impact (2) Bearing Damage – very low in frequency but high impact (3) Worn Shaft – medium frequency but medium impact I have used survsim package but that's not what I need here. Please help and guide. Regards, Sandeep ______________________________________________ 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.