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Displaying 26 - 50 of 85

Identification of machine tool geometric performance using on-machine inertial measurements

June 6, 2017
Author(s)
Gregory W. Vogl, Radu Pavel, Andreas Archenti, Thomas J. Winnard, Matlock M. Mennu, Brian A. Weiss, Alkan Donmez
Machine tools degrade during operations, yet accurately detecting degradation of machine components such as linear axes is typically a manual and time-consuming process. Thus, manufacturers need automated and efficient methods to diagnose the condition of

Adaptive Multi-scale Prognostics and Health Management for Smart Manufacturing Systems

February 10, 2017
Author(s)
Benjamin Y. Choo, Brian Weiss, Jeremy Marvel, Stephen C. Adams, Peter A. Beling
Adaptive Multi-scale Prognostics and Health Management (AM-PHM) is a methodology designed to enable PHM in smart manufacturing systems. As a rule, PHM information is not yet fully utilized in higher-level decision-making in manufacturing systems. AM-PHM

Editorial - Special Issue: Smart Manufacturing PHM

December 7, 2016
Author(s)
Brian A. Weiss, Philip Freeman, Jay Lee, Radu Pavel
This Special Issue on Smart Manufacturing PHM contains six outstanding technical papers and one communication that collectively present a diverse range of research and practical application topics within the field of Smart Manufacturing PHM.

Inertial Measurement Unit for On-Machine Diagnostics of Machine Tool Linear Axes

October 7, 2016
Author(s)
Gregory W. Vogl, Alkan Donmez, Andreas Archenti, Brian A. Weiss
Machine tools degrade during operations, yet knowledge of degradation is elusive; accurately detecting degradation of machines' components such as linear axes is typically a manual and time-consuming process. Thus, manufacturers need automated, efficient

A Sensor-Based Method for Diagnostics of Machine Tool Linear Axes

October 23, 2015
Author(s)
Gregory W. Vogl, Brian A. Weiss, Alkan Donmez
A linear axis is a vital subsystem of machine tools, which are vital systems within many manufacturing operations. When installed and operating within a manufacturing facility, a machine tool needs to stay in good condition for parts production. All

Adaptive Multi-scale PHM for Robotic Assembly Processes

October 23, 2015
Author(s)
Benjamin Y. Choo, Peter A. Beling, Amy LaViers, Jeremy Marvel, Brian A. Weiss
Adaptive multi-scale prognostics and health management (AM-PHM) is a methodology designed to support PHM in smart manufacturing systems. AM-PHM is characterized by its incorporation of multi-level, hierarchical relationships and PHM information gathered

Linear Temporal Logic (LTL) Based Monitoring of Smart Manufacturing Systems

October 23, 2015
Author(s)
Gerald Heddy, Umer Huzaifa, Peter A. Beling, Yacov Haimes, Jeremy Marvel, Brian A. Weiss, Amy LaViers
The vision of Smart Manufacturing Systems (SMS) includes collaborative robots that can adapt to a range of scenarios. This vision requires a classification of multiple system behaviors, or sequences of movement, that can achieve the same high-level tasks

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

October 23, 2015
Author(s)
Brian A. Weiss, Gregory W. Vogl, Moneer Helu, Guixiu Qiao, Joan Pellegrino, Mauricio Justiniano, Anand Raghunathan
The National Institute of Standards and Technology (NIST) hosted the Roadmapping Workshop - Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems (PHM4SMS) in Fall 2014 to discuss the needs and priorities of stakeholders

Standards Related to Prognostics and Health Management (PHM) for Manufacturing

July 7, 2014
Author(s)
Gregory W. Vogl, Brian A. Weiss, M A. Donmez
Prognostics and health management (PHM) systems are utilized to reduce burdensome maintenance tasks of monitored products or processes through diagnostics and prognostics, which provide actionable information that support decision-making for improved

Performance Testing and Evaluation of Transformative Apps Devices

April 16, 2014
Author(s)
Anthony J. Downs, Lisa J. Fronczek, Emile L. Morse, Brian A. Weiss, Ian P. Bashor, Craig I. Schlenoff
Transformative Apps (TransApps) is a Defense Advanced Research Projects Agency (DARPA) funded program whose goal is to develop a range of militarily-relevant software applications ("apps") to enhance the operational effectiveness of military personnel on