Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Use Case Development to Advance Monitoring, Diagnostics, and Prognostics in Manufacturing Operations

Published

Author(s)

Brian A. Weiss, Moneer Helu, Gregory W. Vogl, Guixiu Qiao

Abstract

Manufacturing operations suffer from degradation as equipment and processes are continually used to generate products. The development and integration of monitoring, diagnostic, and prognostic (collectively known as PHM) technologies can enhance maintenance and control strategies within manufacturing operations to improve asset availability, product quality, and overall productivity. As these technologies continue to evolve, it is critical for PHM technologies to be assessed to ensure the manufacturing community is aware of the true capabilities and potential of PHM technologies. The National Institute of Standards and Technology (NIST) has developed a use case that is representative of numerous common manufacturing operations to support the assessment of PHM technologies. This use case will produce test scenarios, reference data sets and protocols, and V&V tools. The use case is described including its three constituent research areas: Manufacturing Process and Equipment Monitoring, Machine Tool Linear Axes Diagnostics and Prognostics, and Health and Control Management of Robotic Systems.
Proceedings Title
IMS2016 – Intelligent Manufacturing Systems
Conference Dates
December 5-7, 2016
Conference Location
Austin, TX, US

Keywords

diagnostics, manufacturing processes, manufacturing systems, condition monitoring, prognostics, use cases

Citation

Weiss, B. , Helu, M. , Vogl, G. and Qiao, G. (2016), Use Case Development to Advance Monitoring, Diagnostics, and Prognostics in Manufacturing Operations, IMS2016 – Intelligent Manufacturing Systems, Austin, TX, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=921541 (Accessed May 29, 2023)
Created December 6, 2016, Updated April 5, 2022