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

Brian A. Weiss, Gregory W. Vogl, Moneer Helu, Helen Qiao, Joan Pellegrino, Mauricio Justiniano, and Anand Raghunathan
Submission Type: 
Full Paper
AttachmentSizeTimestamp
phmc_15_046.pdf401.68 KBAugust 21, 2015 - 10:08am

The National Institute of Standards and Technology (NIST) hosted the Roadmapping Workshop โ€“ Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems (PHM4SMS) in Fall 2014 to discuss the needs and priorities of stakeholders in the PHM4SMS technology area. The workshop brought together over 70 members of the prognostic and health management (PHM) community. The attendees included small, medium, and large manufacturers; technology developers and integrators; academic researchers; government organizations; trade associations; and standards bodies. The attendees discussed the current and anticipated measurement science challenges that the PHM community should address to advance PHM methods and techniques for smart manufacturing systems. Attendees also described the associated research and development (R&D) needs that are hindering the advancement and implementation of condition monitoring, diagnostic, and prognostic technologies within manufacturing environments. Finally, attendees identified the priorities and next steps to meet the needs of PHM in manufacturing. The event was highlighted by several keynote presentations, three panel discussions and three parallel breakout sessions.

This paper will summarize the key findings of this workshop, and present some of the critical measurement science challenges to be addressed along with the corresponding roadmaps (i.e., suggested courses of action). Roadmaps will be presented from the perspective of 1-2 year, 3-5 year, and 5+ year time horizons. Likewise, milestones and targeted capabilities will be presented for each roadmap across three areas: PHM Manufacturing Process Techniques; PHM Performance Assessment; and PHM Infrastructure โ€“ Hardware, Software, and Integration. An analysis of these roadmaps and crosscutting themes seen across the breakout sessions will also be discussed. Some of the themes that will be presented include challenges in collecting data and extracting information; design considerations to incorporating PHM into equipment and processes; work and training requirements for using PHM systems; and human factors that impact the effectiveness of PHM in manufacturing.

Publication Year: 
2015
Publication Volume: 
6
Publication Control Number: 
046
Submission Keywords: 
smart manufacturing
measurement science
prognostics
diagnostics
Condition Based Monitoring
performance evaluation
Submission Topic Areas: 
Health management system design and engineering
Industrial applications
Standards and methodologies
Technology maturation
Verification and validation
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