sandeep Rana
2017-Jun-27 14:58 UTC
[R] Please help(urgent) - How to simulate transactional data for reliability/survival analysis
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
Bert Gunter
2017-Jun-27 15:24 UTC
[R] Please help(urgent) - How to simulate transactional data for reliability/survival analysis
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 > > ______________________________________________ > 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.
Sunny Singha
2017-Jun-28 03:20 UTC
[R] Fwd: Please help(immediate) - How to simulate transactional data for reliability/survival analysis
I apologise as I had mistakenly posted this message via non- member mail. So I'm reposting it with member id. I need help in this case.> 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 >
Bert Gunter
2017-Jun-28 03:53 UTC
[R] Fwd: Please help(immediate) - How to simulate transactional data for reliability/survival analysis
There is no member id. Anyone can sign up to post on this list. I already responded to your prior post. -- 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 8:20 PM, Sunny Singha <sunnysingha.analytics at gmail.com> wrote:> I apologise as I had mistakenly posted this message via non- member mail. So I'm reposting it with member id. I need help in this case. > >> 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 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.
Boris Steipe
2017-Jun-28 09:21 UTC
[R] Please help(urgent) - How to simulate transactional data for reliability/survival analysis
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 > > ______________________________________________ > 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.
Sunny Singha
2017-Jul-04 12:02 UTC
[R] Please help(urgent) - How to simulate transactional data for reliability/survival analysis
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 > > > > ______________________________________________ > > 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. > > ______________________________________________ > 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. >[[alternative HTML version deleted]]
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