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Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems: Key Findings from a

Brian A Weiss1, Gregory Vogl1, Moneer Helu1

  • 1National Institute of Standards and Technology (NIST), Gaithersburg, Maryland, 20899, USA.

Proceedings of the Annual Conference of the Prognostics and Health Management Society. Prognostics and Health Management Society. Conference
|July 1, 2017
PubMed
Summary
This summary is machine-generated.

This workshop identified key measurement science challenges and priorities for Prognostics and Health Management (PHM) in smart manufacturing. Roadmaps were developed to advance PHM technologies, focusing on processes, performance, and infrastructure.

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Area of Science:

  • Manufacturing Engineering
  • Measurement Science
  • Systems Engineering

Background:

  • Smart manufacturing systems rely on Prognostics and Health Management (PHM) for operational efficiency and reliability.
  • Advancing PHM requires addressing specific measurement science challenges within manufacturing environments.
  • A diverse group of stakeholders convened to define priorities for PHM in manufacturing.

Purpose of the Study:

  • To summarize findings from the PHM4SMS workshop.
  • To identify critical measurement science challenges for PHM in smart manufacturing.
  • To present roadmaps and actionable steps for advancing PHM technologies.

Main Methods:

  • Convened a workshop with over 70 stakeholders from industry, academia, government, and standards bodies.
  • Facilitated discussions on current and anticipated measurement science challenges in PHM for smart manufacturing.
  • Developed roadmaps with milestones and targeted capabilities across key PHM areas.

Main Results:

  • Identified critical measurement science challenges across PHM manufacturing process techniques, performance assessment, and infrastructure.
  • Presented detailed roadmaps outlining suggested courses of action for advancing PHM.
  • Highlighted crosscutting themes and priorities for research and development in PHM for manufacturing.

Conclusions:

  • The workshop successfully outlined a strategic direction for measurement science in PHM for smart manufacturing.
  • Addressing the identified challenges and implementing the proposed roadmaps is crucial for future PHM advancements.
  • Collaboration among stakeholders is essential to achieve targeted capabilities in PHM infrastructure, processes, and performance assessment.