> On Aug 23, 2017, at 10:06 PM, Dhivya Narayanasamy <dhiv.shr...@gmail.com> 
> wrote:
> 
> I have a vibration signal coming accelerometer. I converted this signal from*
> m/s^2* to *mm/s*. Now I am supposed to predict this vibration signal in R
> using historical data. (Please see the attached picture of vibration
> signal).

The dimensional analysis of the second sentence does not make scientific sense.

The parenthetical sentence might be true but if so you failed. Probably because 
you did not pay sufficient attention to the information describing the 
requirements for posting to this mailing list.
> 
> Can I use this vibration signal just like that to the prediction using
> predictive Models or Do i need to do some processing technique before doing
> prediction?  Are there any blogs or websites for this vibration prediction
> using R ?

On rhew first page of a google search for "prediction time domain with R" I see:

http://facebookincubator.github.io/prophet/

> All i could found was blogs using "fft" function on vibration in
> R.

Something like this?
"Vibration Spectral Analysis to Predict Asset Failures by Integrating R in SASĀ® 
Asset Performance Analytics"

http://support.sas.com/resources/papers/proceedings17/SAS0527-2017.pdf


> but My aim is to do *prediction of vibration signal in time domain*
> using packages in R.

Have you searched on other plausible terms? Say "reliability analysis"?

> 
> I am interested to know how this signal can be used in prediction in R? Any
> help is much appreciated.
> 
> Thank you.
> Dhivya
> ______________________________________________
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Please read the foollowing links.

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David Winsemius
Alameda, CA, USA

'Any technology distinguishable from magic is insufficiently advanced.'   
-Gehm's Corollary to Clarke's Third Law

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