
Hi,

I am trying to predict the time to certain type of failure given the 
following data on Certain Factory Equipments. The data I have are 
readings collected every day for sensor installed on those equipments 
.On Same day, an equipment can have different Repaires performed,and on 
some days no repairs. When a repair is performed it means some part of 
that equipment failed. Our goal is to find the time to failure of that 
part so we can perform preventative maintenance.I converted the data so I
 have only one type of failure in my data , Part1 failed or not failed 
is my binary output. I intend to do sperate analysis for diffferent part
 failures.
I was thinking of using the randomForestSRC package to fit a model.I 
have not done any survival Timeseries Modeling.
my challenge is how to define the Input Time series in the 
surv(time,output)
What other things should be kept in mind when doing survival analysis on
 such data??


Can i just sort the data by time and use that as input or I need to define my Starttime
(time when the equipment was brandnew and stop time as time when the equipment had certain part failure??)


Should the analysis be done separately on each Equipment ID ??
Any ideas appreciated.

Sample data 



shi

 		 	   		  
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