Juan_ORhea wrote:
What does "filtered to only include above 105" mean? RPM at 105kph, rather than 100kph?
Although the filter is 105 the result is @100 because all data points are scaled.
Source data is 32 million rows. After filtering to only include >=105 I get 470,000 rows. For each row RPM*100/KPH is calculated. Then rows in 3 days buckets are averaged together resulting in 139 rows. This is then graphed.
Juan_ORhea wrote:
That mid-2022 drop where the pulleys weren't changed CONTINUED to drop for a while. Then, presumably, the belt/roller wear "caught up"?
In mid-2022 the service items are a bit more complex than the other intervals as during jun/jul I was testing 12g, 13g, 14g rollers plus belt change. the further drop in aug was replacing the drive pulley. Then dec was belt, rollers, driven pulley.
Regardless the trend of the overall graph vs service.
Juan_ORhea wrote:
Perhaps sliders slow these effects a little bit?
interesting thought.
Although it's the importance of the wear on the pulleys that I suspect many don't think about