The input of the module is a csv file. The file contains an unordered dataset, with provided information of engine inspections since 2004 for each engine carbon brush. In case carbon brush was replaced due to deterioration - the event is signed by “1”, otherwise by “0”.
The outputs of the module are convenient for further work datasets based on the provided raw data.
## Cement Mill 11 (November 2003 - February 2018)
## Maintaneince days summary:
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.00 21.00 25.00 28.18 28.00 525.00
##
## Maintaneince days Outleirs:
## lowerFarOut lowerOutliers upperOutliers upperFarOut
## 0.0 10.5 38.5 49.0
##
## Replacement periods summary:
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.0 110.0 184.5 243.5 287.0 1762.0
##
## Replacement periods upperOutliers:
## upperOutliers upperFarOut
## 552.5 818.0
Low “FarOut” Actually, low farOuts points (days of carbon brush replacement) mean that carbon brushes were replaced on the same day or after few days. In both cases, low farOuts might be entered same information twice- and must be removed from dataset.
## Mill C R brushName brushType phase fromDate toDate Days
## 39 RMB 1 2 C1R02 CM-2 U 2016-11-30 2016-12-01 1
## 82 RMB 1 4 C1R04 CM-2 U 2016-11-30 2016-12-01 1
## 106 RMB 1 5 C1R05 CM-2 U 2016-11-30 2016-12-01 1
## 184 RMB 2 5 C2R05 CM-2 V 2016-11-30 2016-12-01 1
## 233 RMB 3 1 C3R01 CM-2 W 2016-11-30 2016-12-01 1
## 73 RMB 1 4 C1R04 CM-2 U 2010-09-07 2010-09-15 8
## 285 RMB 3 5 C3R05 CM-2 W 2005-08-22 2005-09-01 10
Here, it is easy to find out places, where carbon brushes were replaced significantly more frequently than a majority of carbon brushes of this engine. Presumably, these carbon brushes were affected by local factors (like a local clamping spring) more than common reasons (for this engine). But here, the situation significantly better than in the other mills- there are no cases of frequently replaced carbon brushes.
This chart provides information about “frozen” (rarely replaced) carbon brushes. Probably “frozen” brushes have a relatively weak clamping spring - as result, the carbon brush, apparently, did not do the job at all. -For example carbon brush C2R04 - was not deteriorated for about five years (The criterion for replacement is the size (deterioration) of the carbon brush). C1R06, C2R03, and C3R06 are not in use.
We should take into account, that there are upper outliers in the maintenance list - the reason for extremely long intervals between maintenance is probably data loss of maintenance cases:
## dateDiff fromtDate toDate
## 1 75 2003-11-05 2004-01-19
## 2 45 2004-02-16 2004-04-01
## 3 42 2004-05-05 2004-06-16
## 4 40 2004-11-30 2005-01-09
## 5 39 2005-09-01 2005-10-10
## 6 41 2006-01-30 2006-03-12
## 7 40 2011-01-11 2011-02-20
## 8 41 2013-01-24 2013-03-06
## 9 525 2013-12-22 2015-05-31
## 10 156 2016-05-23 2016-10-26
## 11 39 2017-08-16 2017-09-24
There is a chance that deteriorated carbon brushes had been replaced during those periods, but we have no information - and as result, we see the lifespan of them as outliers:
## brushName fromDate toDate Days
## 1 C1R01 2013-03-06 2015-10-12 950
## 2 C1R01 2016-03-08 2017-09-24 565
## 3 C1R02 2013-08-26 2015-08-13 717
## 4 C1R03 2012-11-27 2015-11-07 1075
## 5 C1R03 2015-11-07 2017-09-24 687
## 6 C1R04 2012-11-27 2015-10-12 1049
## 7 C1R05 2008-07-09 2010-03-18 617
## 8 C1R05 2013-07-29 2015-08-13 745
## 9 C2R01 2013-08-26 2015-08-13 717
## 10 C2R02 2009-04-13 2011-04-10 727
## 11 C2R02 2013-07-29 2015-10-12 805
## 12 C2R04 2006-01-30 2007-09-25 603
## 13 C2R04 2007-09-25 2009-08-30 705
## 14 C2R04 2012-04-29 2017-01-17 1724
## 15 C2R05 2013-11-28 2015-12-23 755
## 16 C2R06 2010-05-13 2012-04-04 692
## 17 C2R06 2013-11-28 2015-12-23 755
## 18 C2R06 2016-03-08 2017-09-24 565
## 19 C3R01 2013-05-12 2015-10-12 883
## 20 C3R02 2013-05-12 2015-08-13 823
## 21 C3R03 2007-08-28 2009-11-30 825
## 22 C3R03 2011-04-10 2012-11-27 597
## 23 C3R03 2012-11-27 2017-09-24 1762
## 24 C3R04 2013-11-28 2017-07-25 1335
## 25 C3R05 2013-08-26 2015-08-13 717
In order to exclude the uncertainty- whether carbon brushes lifespan outliers are true, or results of information loss- we can test which of these time periods are overlapping (outliers of periods between maintenance and outliers of periods between carbon brushes replacement).
According to the table, except of C1R05(7), C2R04(13), C3R03(21), C3R03(22), other lifespan outliers might be a result of the lost information. For example, it looks like carbon brush C2R04(14) was not replaced for about five years, but this periods are overlapped with three periods of lost information, during which carbon brushes might have been replaced for several times.
For sure, we can only say, that C1R05(7), C2R04(13), C3R03(21), C3R03(22) carbon brushes were not replaced for about two years. Except for those four cases, other 21 outliers are better to be removed from the dataset.
“Importance” (to put attention) provides visual information about the number of days since last replacement- lower than second quintile, or upper then third quintile. The importance is calculated by the following principles: Maximum value - 10, is equivalent to the maximum distance from the second quantile down (for the low values -“burned” brushes) and from the third quantile up (for the upper values- “frozen” brushes) found in the whole engine history. The minimum value “1” - the number of days since last replacement, lays in the second or third quantiles.
Colors: green- the number of days since last replacement lays in third or second quintile;
red- “burned” brush - the number of days since last replacement and lifetime of the previous brush in this place lay in the first quintile;
blue- “frozen” brush- the number of days since last replacement lays in the fourth quintile.