State-of-the-Art Measurement Analysis Software, Training and Consulting Services
Celebrating over 28 YRS of Excellence and Innovation 1987-2015
    Google 
internet isgmax.com

 

 

 

Products Software UncertaintyAnalyzer Program Features Measurement Configuration Screen

 

UncertaintyAnalyzer Measurement Uncertainty Analysis Software from Integrated Sciences Group  UncertaintyAnalyzer 3.0 - Measurement Configuration Screen

UncertaintyAnalyzer Measurement Uncertainty Analysis Software - Measurement Configuration Screen

 

Measurement Configuration Screen
The first step in any measurement uncertainty analysis is to establish the relationship between the subject parameter and the measuring parameter.  This involves defining the measurement configuration.  On the Main Screen, click either the Specify the Configuration button in the Analysis Procedure list or select Measurement Configuration from the Options menu.  This opens the Measurement Configuration Options Screen.

There are four configurations to choose from: MTE Model, SU Model, Indirect Model, and General Model.  With the MTE Model, the measuring parameter measures the subject parameter directly.  With the SU Model, the measuring parameter provides a reference that is measured by the parameter.  With the Indirect Model, both the measuring parameter and the subject parameter measure a common artifact.  The General Model is a "catchall" category for configurations other than the first three options.  For example, the measuring parameter may not directly measure the subject parameter, rather other quantities may be directly measured and used to compute the value of the subject parameter.  

 
Why Specify a Configuration?
Specifying a configuration allows UncertaintyAnalyzer to de-activate analysis templates that are not appropriate for a given analysis. In addition, for certain configurations, specifying a configuration triggers an automatic background analysis, referred to as SMPC.
 
SMPC combines pre-measurement assumptions about measurement uncertainty with measurement results to produce a refinement of pre-measurement assumptions. The refinement includes bias uncertainty estimates for both the subject parameter and the measuring system, along with accompanying in-tolerance probabilities.

 

  Home  |  Company  |  Products  |  Services  |  Training  |  Updates  |  Freeware  |  Articles  |  Help  |  Links 

 

Integrated Sciences Group
14608 Casitas Canyon Road • Bakersfield, CA 93306
Phone 1-661-872-1683 • FAX 1-661-872-3669

 

Privacy Policy     Return Policy     Shipping Info

 

Page Updated February 12, 2015