Premium Content


This content is available if you have a software support plan or current system warranty. To request access to this content, please submit a support request here.

What is the best calibration method for very non-linear data?

QUESTION 

 

What is the best calibration method for very non-linear data?

 

 

ANSWER

 

The 793 software supports linearization models, Gain/Delta K, Gain/Linearization, or Gain/Advanced Linearization.  

 

Gain/Advanced Linearization is the best method for very non-linear data.  Below are comparisons of the LVDT calibration error before Linearization (top) and after using Gain/Linearization (middle) and Gain/Advanced Linearization (bottom).  


cid:_4_0DF832B00DF830440039FFE185257E07cid:_2_0DF8374C0DF834E00039FFE185257E07 


Gain/Advanced Linearization Requirements:


494 electronics only
494.16, 494.25, 494.26 DUC’s only
494.21 DUC excluded

 793 software version 5.5 and later

 

K
Keary is the author of this solution article.

Did you find it helpful? Yes No

Send feedback
Sorry we couldn't be helpful. Help us improve this article with your feedback.