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Time Stamped Process Data

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Time Stamped Process Data

SaS Gurus,

I work in a mineral processing facility and I'm experimenting around with SaS Enterprise Miner to see if I can determine which sensor states and sequences lead to certain types of alarms.

I'm really after some advice as to the best preparation for the data. As a starting point, can I analyse it in its current form (see below), or do I need to convert it into timeseries data every 100 ms.

The data is stored from our sensors only when the value changes. It is stored in the following timestamped format: <Date Time>, <Variable Name>, <Variable Value>. Example Below.

TimeStamp

VariableValue
3/02/2014 16:02:34.1Position22.34
3/02/2014 16:02:34.3Position22.37
3/02/2014 16:03:32.7Speed83
3/02/2014 16:04:01.6Position22.39
3/02/2014 16:04:03.2Speed77
3/02/2014 16:07:29.0Position22.48

While the alarm instances are just identified by the occurrence timestamp.

TimeStampAlarm
3/02/2014 16:03:23.0Alarm 1
3/02/2014 18:01:02.0Alarm 1

Any advice would be greatly appreciated.

James

Perth, Australia

Super User
Super User
Posts: 7,059

Re: Time Stamped Process Data

Convert your measurement readings from time points to intervals.  Then you can merge the alarm times with the intervals.

I changed the time of the second alarm (and the label) so that it would match a SPEED value.

data alarms ;

  infile cards dsd dlm='|' truncover ;

  informat timestamp anydtdtm. ;

  format timestamp datetime24.2;

  length alarm $20;

  input timestamp alarm;

cards;

3/02/2014 16:03:23.0|Alarm 1

3/02/2014 18:01:02.0|Alarm 2

run;

data values ;

  infile cards dsd dlm='|' truncover ;

  informat timestamp anydtdtm. ;

  format timestamp datetime24.2;

  length position $20;

  input timestamp position value;

cards;

3/02/2014 16:02:34.1|Position|22.34

3/02/2014 16:02:34.3|Position|22.37

3/02/2014 16:03:02.7|Speed|83

3/02/2014 16:04:01.6|Position|22.39

3/02/2014 16:04:03.2|Speed|77

3/02/2014 16:07:29.0|Position|22.48

run;

proc sort ;

  by position descending timestamp ;

run;

data ranges ;

  set values ;

  by position descending timestamp ;

  start=timestamp;

  end = lag(timestamp);

  if first.position then end = .;

  format start end datetime24.2;

  keep position value start end

run;

proc sql ;

   create table want as

   select a.alarm,a.timestamp as alarm_time, b.*

   from alarms a left join ranges b

   on a.timestamp >= b.start and (a.timestamp < b.end or b.end is null)

   order by 1,2

;

quit;

proc print;

run;


Alarm 1|02MAR2014:16:03:23.00|Position|22.37|02MAR2014:16:02:34.30|02MAR2014:16:04:01.60

Alarm 1|02MAR2014:16:03:23.00|Speed|83|02MAR2014:16:03:02.70|02MAR2014:16:04:03.20

Alarm 2|02MAR2014:18:01:02.00|Position|22.48|02MAR2014:16:07:29.00|

Alarm 2|02MAR2014:18:01:02.00|Speed|77|02MAR2014:16:04:03.20|

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