This package contains a collection of functions for calculating the skill of model predictions against observations. It includes metrics such as root-mean-square-error (RMSE) difference, centered root-mean-square (RMS) difference, and skill score (SS), as well as a collection of functions for ...
The geometric values shown include face maximum, arithmetic mean, area weighted average, RMS, and area weighted RMS. Regards, Mark Video ResultProbeFaceValueOptions 6.5MB LikeLikedUnlikeReply1 like GowthamN 2 years ago Thanks for the reply @JimB (Siemens Employee) and @MarkLamping. I...
I remember from an engineering project a couple of years ago we had vibration issues in a rotating shaft application. I had accelerometer data from the bearing that had these periods where RMS vibration levels jumped way up! We knew it was related to the shaft's speed but it would have be...