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

[Sunny Singha]

Thanks Boris and Bret,
I was successful in simulating granular/transactional data.
Now I need some guidance to transform the same data in format acceptable
for survival analysis i.e below format:

pump_id | event_episode_no. | event(0/1) | start | stop | time_to_dropout

The challenge I'm experience is to generate the 'start' and 'stop' in units
of minutes/days from single column of 'Timestamp' which is
the column from transactional/granular data based on condition tagged in
separate column, 'event 0/1, (i.e event ).

Please guide how to do such transformation in 'R'.

Regards,
Sandeep



On Wed, Jun 28, 2017 at 2:51 PM, Boris Steipe <boris.steipe at utoronto.ca>
wrote:

> In principle what you need to do is the following:
>
>  - break down the time you wish to simulate into intervals.
>  - for each interval, and each failure mode, determine the probability of
> an event.
>    Determining the probability is the fun part, where you make your domain
>    knowledge explicit and include all the factors into your model:
> cumulative load,
>    failure history, pressure, temperature, phase of the moon ...
>  - once you have a probability of failure, use the runif() function to
> give you
>    a uniformly distributed random number in [0, 1]. If the number is
> smaller than
>    your failure probability, accept the failure event, and record it.
>  - Repeat many times.
>
> Hope this helps.
> B.
>
>
>
>
> > On Jun 27, 2017, at 10:58 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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> > PLEASE do read the posting guide http://www.R-project.org/
> posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help at 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.
>

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