Skip to main content

Test Data Measurement Uncertainty Analysis

  • Conference paper
  • First Online:
Sensors & Instrumentation and Aircraft/Aerospace Testing Techniques, Volume 8 (SEM 2023)

Included in the following conference series:

  • 105 Accesses

Abstract

The Structural Validation Branch (AFRL/RQVV) is a research and development test organization that supports internal (Air Force) and external customers. The calculation of test data uncertainty is a necessary capability for a test organization. Test data uncertainty analysis provides error limit values based on the combined effects of random and systematic error sources. The measurement uncertainty calculations provide a means to characterize the measurement methods and understand what the test data represent. This allows engineers to make informed decisions based on the quality of the test data. Error source examination can also be used to determine if corrective actions are necessary and/or possible to eliminate or reduce measurement errors. AFRL/RQVV has completed a project to develop the procedures and tools to calculate and document test data measurement uncertainty values.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Reference

  • Dieck, R.H.: Measurement Uncertainty, Methods and Applications, 5th edn. ISA, Research Triangle Park (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David T. Buck .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Society for Experimental Mechanics, Inc.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Buck, D.T. (2024). Test Data Measurement Uncertainty Analysis. In: Walber, C., Stefanski, M., Seidlitz, S. (eds) Sensors & Instrumentation and Aircraft/Aerospace Testing Techniques, Volume 8. SEM 2023. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-031-34938-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-34938-6_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34937-9

  • Online ISBN: 978-3-031-34938-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics