[R] Please help(urgent) - How to simulate transactional data for reliability/survival analysis

[Bert Gunter]

I think you need to find a local consultant. Someone here might have a
suggestion or two where to look (as I do below), but this list only
provides help on R programming code, not statistical issues (see
programming guide below for details).

You might wish to have a look at the CRAN survival analysis task view
to see if any packages might address your needs (but warning: it's
mostly about medical applications):

https://cran.r-project.org/web/views/Survival.html

Cheers,
Bert



Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Tue, Jun 27, 2017 at 7:58 AM, sandeep Rana <sandykido at gmail.com> wrote:
> 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
>
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