=== Instructions for MATLAB files ===

These files are for the final app version of the CUQA framework.
You need to have app designer installed for this to work.
The app has not been packaged so that the code is viewable and the app can be adjusted where needed.

ANY USE OF THIS APP MUST GIVE CREDIT TO THE AUTHOR - ALEX GRENYER - BY CITING THE PAPER THIS DATA IS SUPPORTING:

Grenyer, A.; Erkoyuncu, J.A.; Addepalli, S.; Zhao, Y.
Compound Uncertainty Quantification and Aggregation for Reliability Assessment in Industrial Maintenance.
Machines 2023, 11, 560. https://doi.org/10.3390/machines11050560


INSTRUCTIONS FOR INTIIAL USE
1. Open 'aCUQA'. This is the main app, which calls functions as needed. Do not run these individually.
2. Select the dataset in the top left corner and click the "Load and run" button.
3. Once data is loaded, the graphs will be populated.
4. Use the "Run and build dataStruct" button to run the anaysis for each time unit and run GSA.
5. Use the tabs at the top of the app to view and edit different elements including Pedigree factors, combined uncertainty, GSA results and change in CV over time.

Note: The app has indicator lamps to show the status of different sections. If a lamp is red, wait for it to finish processing and turn green.
  If it remains red, check the MATLAB command window for any errors.

Further details on the app's functionality can be found in Appendix F of the author's PhD thesis:
"ADVANCED UNCERTAINTY QUANTIFICATION WITH DYNAMIC PREDICTION TECHNIQUES UNDER LIMITED DATA FOR INDUSTRIAL MAINTENANCE APPLICATIONS"