Publications

The personnel conducting research in this field actively publish their results and lessons learned. The below list presents the publicly-available documents which can be freely downloaded. Please note that these publications are organized in the categories - Case Studies; Events and Standards; Machine Tools; Manufacturing Operations; Natural Language Processing; and Robotics. 

case studies

• Douglas S. Thomas and Brian A. Weiss, "Maintenance Costs and Advanced Maintenance Techniques in Manufacturing Machinery: Survey and Analysis," International Journal of Prognostics and Health Management (IJPHM), 12(1), 2021.
• Douglas S. Thomas and Brian A. Weiss, "Economics of Manufacturing Machinery Maintenance: A Survey and Analysis of U.S. Costs and Benefits," Advanced Manufacturing Series (NIST AMS), 100-34, 2020.
• Xiaoning Jin, Brian A. Weiss, David Siegel, Jay Lee, and Jun Ni, "Present Status and Future Growth of Advanced Maintenance Technology and Strategy in US Manufacturing," International Journal of Prognostics and Health Management (IJPHM) - Special Issue: PHM for Smart Manufacturing Systems, 2016.
• Moneer Helu and Brian A. Weiss, "The Current State of Sensing, Health Management, and Control for Small-to-Medium-Sized Manufacturers," Proceedings of the ASME 2016 11th International Manufacturing Science and Engineering Conference MSEC2016, 2016.
• Xiaoning Jin, David Siegel, Brian A. Weiss, Ellen Gamel, Wei Wang, and Jun Ni, "The Present Status and Future Growth of Maintenance in U.S. Manufacturing: Results from a Pilot Survey," Manufacturing Review, 2016.
• Gregory W. Vogl, Brian A. Weiss, and Moneer M. Helu, "A Review of Diagnostic and Prognostic Capabilities and Best Practices for Manufacturing," Journal of Intelligent Manufacturing, 2016.
• Michael P. Brundage, Toyosi Ademujimi, and Vittaldas Prabhu, "A review of current machine learning techniques used in manufacturing diagnosis," APMS 2017 International Conference Advances in Production Management Systems (APMS 2017), 2017.

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DIGITAL TWIN

• Deogratias Kibira, Guodong Shao, and Brian A. Weiss, "Building a Digital Twin for Robot Workcell Prognostics and Health Management," Winter Simulation Conference, 2021.

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events and standards

• Brian A. Weiss and Michael P. Brundage, "Measurement and Evaluation for Prognostics and Health Management for Manufacturing Operations – Lessons Learned from an Interactive Workshop," International Journal of Prognostics and Health Management, 12(1), 2021.
• Brian A. Weiss, Michael P. Brundage, and Joan Pellegrino, "Summary Report: Meeting of the ASME Standards Subcommittee on Advanced Monitoring, Diagnostics, and Prognostics for Manufacturing Operations Hosted at NIST," Advanced Manufacturing Series (NIST AMS), 100-31, 2020.
• Michael P. Brundage, Brian A. Weiss, and Joan Pellegrino, "Summary Report: Standards Requirements Gathering Workshop for Natural Language Analysis," Advanced Manufacturing Series (NIST AMS), 100-30, 2020.
• Luis Hernandez, Mark Walker, Al Salour, Radu Pavel, and Brian A. Weiss, "White Paper: Determining When and Where PHM Should be Integrated into Manufacturing Operations," ASME Website, 2019. 
• Brian A. Weiss, Michael P. Brundage, Yannick Tamm, Tommi Makila, and Joan Pellegrino, "Summary Report on the Industry Forum for Monitoring, Diagnostics, and Prognostics for Manufacturing Operations," Advanced Manufacturing Series (NIST AMS), 100-23, 2019.
• Brian A. Weiss, Donnie Alonzo, and Steve D. Weinman, "Summary Report on a Workshop on Advanced Monitoring, Diagnostics, and Prognostics for Manufacturing Operations," Advanced Manufacturing Series (NIST AMS), 100-13, 2017.
• Joan Pellegrino, Mauricio Justiniano, Anand Raghunathan, and Brian A. Weiss, "Measurement Science Roadmap for Prognostics and Health Management for Smart Manufacturing Systems," Advanced Manufacturing Series (NIST AMS), 100-2, 2016.
• Brian A. Weiss, Gregory W. Vogl, Moneer M. Helu, Guixiu Qiao, Joan Pellegrino, Mauricio Justiniano, and Anand Raghunathan, "Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems: Key Findings from a Roadmapping Workshop," 2015 Annual Conference of the Prognostics and Health Management Society, 2015. 
• Brian A. Weiss, "Roadmapping Workshop - Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems," MFPT (Society of Machinery Failure Prevention Technology) Newsletter, 2015.
• Gregory W. Vogl, Brian A. Weiss, and M A. Donmez, "Standards for Prognostics and Health Management (PHM) Techniques within Manufacturing Operations," 2014 Annual Conference of the Prognostics and Health Management Society, 2014. 
• Gregory W. Vogl, Brian A. Weiss, M A. Donmez, "Standards Related to Prognostics and Health Management (PHM) for Manufacturing," NIST Interagency/Internal Report (NISTIR) - 8012, 2014.

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Machine Tools

• Gregory W. Vogl and Yongzhi Qu, "Estimating dynamic cutting forces of machine tools from measured vibrations using sparse regression with nonlinear function basis," Proceedings of the Annual Conference of the Prognostics and Health Management Society 2021, 2021. 
• Gregory W. Vogl, Kyle F. Shreve, and Alkan Donmez, "Influence of bearing ball recirculation on error motions of linear axes," CIRP Annals-Manufacturing Technology, 2021. 
• Seungjoo Lee, Jungsub Kim, ChaBum Lee, and Gregory W. Vogl, "Curved-Edge Displacement Sensor for Spindle Dynamic Identification," American Society for Precision Engineering 35th Annual Meeting, 2020.
• Gregory W. Vogl, Ronnie Fesperman, Steve Ludwick, Richard Klopp, Axel Grabowski, Justin Lebel, Jimmie Miller, Nathan Brown, Eric Belski, Nicholas Duncan, and C W. Hennessey, "Development of a New Standard for the Performance Evaluation of Single Axis Linear Positioning Systems," American Society for Precision Engineering 35th Annual Meeting, 2020. 
• Yongzhi Qu, Gregory W. Vogl, and Zechao Wang, "A Deep Neural Network Model for Learning Runtime Frequency Response Function using Sensor Measurements,"  Proceedings of the ASME 2021 16th International Manufacturing Science and Engineering Conference (MSEC 2021), 2020.
• Gregory W. Vogl, Brian C. Galfond, and Jordan Jameson, "Bearing Metrics for Health Monitoring of Machine Tool Linear Axes," Proceedings of the ASME 2019 14th International Manufacturing Science and Engineering Conference MSEC2019, 2019.
• Gregory W. Vogl, Jordan Jameson, Andreas Archenti, Karoly Szipka, and M A. Donmez, "Root-cause analysis of wear-induced error motion changes of machine tool linear axes," International Journal of Machine Tools & Manufacture, 2019. 
• Karoly Szipka, Andreas Archenti, Gregory W. Vogl, and M A. Donmez, "Identification of machine tool squareness errors via inertial measurements," CIRP Annals-Manufacturing Technology, 2019. 
• Jordan Jameson and Gregory W. Vogl, "Comparative Analysis of Bearing Health Monitoring Methods for Machine Tool Linear Axes," Society for Machinery Failure Prevention Technology 2018 Annual Conference, 2018. 
• Gregory W. Vogl and Michael E. Sharp, "Diagnostics of machine tool linear axes via separation of geometric error sources," 2017 Annual Conference of the Prognostics and Health Management Society, 2017.
• Gregory W. Vogl, Radu Pavel, Andreas Archenti, Thomas J. Winnard, Matlock M. Mennu, Brian A. Weiss, and M A. Donmez, "Identification of machine tool geometric performance using on-machine inertial measurements," 6th International Conference on Virtual Machining Process Technology (VMPT 2017), 2017.
• Gregory W. Vogl, M A. Donmez, Andreas Archenti, and Brian A. Weiss, "Inertial Measurement Unit for On-Machine Diagnostics of Machine Tool Linear Axes," 2016 Annual Conference of the Prognostics and Health Management Society, 2016.
• Gregory W. Vogl, Matthew Calamari, Sean Ye, and M A. Donmez, "A Sensor-Based Method for Diagnostics of Geometric Performance of Machine Tool Linear Axes," 44th SME North American Manufacturing Research Conference (NAMRC), 2016.
• Gregory W. Vogl, M A. Donmez, and Andreas Archenti, "Diagnostics for Geometric Performance of Machine Tool Linear Axes," CIRP Annals-Manufacturing Technology, 2016. 
• Gregory W. Vogl and M A. Donmez, "A Defect-driven Diagnostic Method for Machine Tool Spindles," CIRP Annals-Manufacturing Technology, 2015. 
• Gregory W. Vogl, Brian A. Weiss, and M A. Donmez, "A Sensor-Based Method for Diagnostics of Machine Tool Linear Axes," 2015 Annual Conference of the Prognostics and Health Management Society, 2015.

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Manufacturing operations

• Michael P. Brundage and Brian A. Weiss, "Prognostics and Health Management (PHM) to Improve Resilient Manufacturing," The ASTM Journal of Smart and Sustainable Manufacturing, 2020.
• Nancy Diaz-Elsayed, Luis Hernandez, Ravi Rajamani, and Brian A. Weiss, "Asset Condition Management: A Framework for Smart, Health-Ready Manufacturing Systems," Proceedings of the ASME 2020 15th International Manufacturing Science and Engineering Conference MSEC2020, 2020.
• Timothy A. Sprock, Michael E. Sharp, William Z. Bernstein, Michael P. Brundage, Moneer M. Helu, and Thomas D. Hedberg Jr., "Integrated Operations Management for Distributed Manufacturing," Proceedings of the 9th IFAC Conference on Manufacturing Modeling, Management and Control, 2019. 
• Michael P. Brundage, Thurston B. Sexton, Melinda Hodkiewicz, Katherine C. Morris, Jorge Arinez, Farhad Ameri, Jun Ni, and Guoxian Xiao, "Where do we start? Guidance for Technology Implementation in Maintenance Management for Manufacturing," ASME Journal of Manufacturing Science and Engineering, 2019.
• William Z. Bernstein, Cesar D. Tamayo, David Lechevalier, and Michael P. Brundage, "Incorporating unit manufacturing process models into life cycle assessment workflows," 26th CIRP Conference on Life Cycle Engineering, 2019. 
• Michael E. Sharp, Michael P. Brundage, Timothy A. Sprock, and Brian A. Weiss, "Selecting Optimal Data for Creating Informed Maintenance Decisions in a Manufacturing Environment," Proceedings of the 10th Model-Based Enterprise Summit, 2019.
• Michael Hoffman, Eunhye Song, Michael P. Brundage, and Soundar R. Kumara, "Condition-based maintenance policy optimization using genetic algorithms and Gaussian Markov improvement algorithm," 2018 Annual Conference of the Prognostics and Health Management Society, 2018.
• Brian A. Weiss, Michael E. Sharp, and Alexander S. Klinger, "Developing a Hierarchical Decomposition Methodology to Increase Manufacturing Process and Equipment Health Awareness," Journal of Manufacturing Systems, 2018. 
• Michael P. Brundage, Thurston B. Sexton, Katherine C. Morris, Sascha A. Moccozet, and Michael L. Hoffman, "Developing Maintenance Key Performance Indicators from Maintenance Work Order Data," Proceedings of the ASME 2018 13th International Manufacturing Science and Engineering Conference MSEC2018, 2018.
• Michael E. Sharp and Brian A. Weiss, "Hierarchical Modeling of a Manufacturing Work Cell to Promote Contextualized PHM Information Across Multiple Levels," Manufacturing Letters, 2018. 
• Brian A. Weiss and Guixiu Qiao, "Hierarchical Decomposition of a Manufacturing Work Cell to Promote Monitoring, Diagnostics, and Prognostics," Proceedings of the ASME 2017 12th International Manufacturing Science and Engineering Conference MSEC2017, 2017.
• Michael P. Brundage, Boonserm Kulvatunyou, Toyosi Ademujimi, and Badarinath Rakshith, "Smart manufacturing through a framework for a knowledge-based diagnosis system," Proceedings of the ASME 2017 12th International Manufacturing Science and Engineering Conference MSEC2017, 2017.
• Benjamin Y. Choo, Brian A. Weiss, Jeremy A. Marvel, Stephen C. Adams, and Peter A. Beling, "Adaptive Multi-scale Prognostics and Health Management for Smart Manufacturing Systems," International Journal of Prognostics and Health Management (IJPHM) - Special Issue: PHM for Smart Manufacturing Systems, 2017.
• Brian A. Weiss, Philip Freeman, Jay Lee, and Radu Pavel, "Editorial - Special Issue: Smart Manufacturing PHM," International Journal of Prognostics and Health Management, 2016.
• Brian A. Weiss, Moneer M. Helu, Gregory W. Vogl, and Guixiu Qiao, "Use Case Development to Advance Monitoring, Diagnostics, and Prognostics in Manufacturing Operations," International Federation of Automatic Control - Intelligent Manufacturing Systems, 2016. 
• Michael Malinowski, Peter A. Beling, Amy LaViers, Jeremy A. Marvel, and Brian A. Weiss, "System Interdependency Modeling in the Design of Prognostic and Health Management Systems in Smart Manufacturing," 2015 Annual Conference of the Prognostics and Health Management Society, 2015.

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Natural Language Processing

• Thurston B. Sexton, Michael P. Brundage, Alden A. Dima, and Michael E. Sharp, "MSEC: A Quantitiative Retrospective," Proceedings of the ASME 2020 15th International Manufacturing Science and Engineering Conference MSEC2020, 2020.
• Michael P. Brundage and Radu Pavel, "Using Text Analytics Solutions with Small to Medium Sized Manufacturers: Lessons Learned," Proceedings of the 11th Model-Based Enterprise Summit, 2020.
• Michael P. Brundage, Senthil K. Chandrasegaran, Xiaoyu Zhang, and Kwan-Liu Ma, "Using Text Visualization to aid Analysis of Machine Maintenance Logs," Proceedings of the 11th Model-Based Enterprise Summit, 2020.
• Thurston B. Sexton and Michael P. Brundage, "Nestor: A Tool for Natural Language Annotation of Short Texts," Journal of Research of the National Institute of Standards and Technology, 2019. 
• Emily Hastings, Thurston B. Sexton, Michael P. Brundage, and Melinda Hodkiewicz, "Agreement Behavior of Isolated Annotators for Maintenance Work-Order Data Mining," 2019 Annual Conference of the Prognostics and Health Management Society, 2019. 
• Madhusudanan Navinchandran, Michael E. Sharp, Michael P. Brundage, and Thurston B. Sexton, "Studies to Predict Maintenance Time Duration and Important Factors From Maintenance Workorder Data," 2019 Annual Conference of the Prognostics and Health Management Society, 2019.
• Thurston B. Sexton, Melinda Hodkiewicz, and Michael P. Brundage, "Categorization Errors for Data Entry in Maintenance Work-Orders," 2019 Annual Conference of the Prognostics and Health Management Society, 2019.
• Thurston B. Sexton and Michael P. Brundage, "Standards Needs for Maintenance Work Order Analysis in Manufacturing," Proceedings of the 10th Model-Based Enterprise Summit, 2019.
• Thurston B. Sexton, Michael P. Brundage, Melinda Hodkiewicz, and Thomas Smoker, "Benchmarking for keyword extraction methodologies in maintenance work orders," 2018 Annual Conference of the Prognostics and Health Management Society, 2018. 
• Thurston B. Sexton, Michael P. Brundage, Michael L. Hoffman, and Katherine C. Morris, "Hybrid Datafication of Maintenance Logs from AI-Assisted Human Tags," Proceedings of the 2017 IEEE Big Data Conference, 2017. 
• Michael E. Sharp, Thurston B. Sexton, and Michael P. Brundage, "Semi-Autonomous Labeling of Unstructured Maintenance Log Data for Diagnostic Root Cause Analysis," APMS 2017 International Conference Advances in Production Management Systems (APMS 2017), 2017.

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robotics

• Brian A. Weiss and Jared Kaplan, "Assessment of a Novel Position Verification Sensor to Identify and Isolate Robot Workcell Health Degradation," ASME Journal of Manufacturing Science and Engineering, vol. 143, April, 2021. 
• Brian A. Weiss and Jared Kaplan, "Assessment of a Novel Position Verification Sensor to Identify and Isolate Robot Workcell Health Degradation," Proceedings of the ASME 2020 15th International Manufacturing Science and Engineering Conference MSEC2020, 2020.
• Guixiu Qiao, "Advanced Sensor and Target Development to Support Robot Accuracy Degradation Assessment," IEEE International Conference on Automation Science and Engineering (CASE2019), 2019.
• Brian A. Weiss, "Developing Measurement Science to Verify and Validate the Identification of Robot Workcell Degradation," Proceedings of the ASME 2019 14th International Manufacturing Science and Engineering Conference MSEC2019, 2019.
• Alexander S. Klinger and Brian A. Weiss, "Examining Workcell Kinematic Chains to Identify Sources of Positioning Degradation," 2018 Annual Conference of the Prognostics and Health Management Society, 2018.
• Guixiu Qiao and Brian A. Weiss, "Monitoring, Diagnostics, and Prognostics for Robot Tool Center Accuracy Degradation," Proceedings of the ASME 2018 13th International Manufacturing Science and Engineering Conference MSEC2018, 2018.
• Alexander S. Klinger and Brian A. Weiss, "Robotic Work Cell Test Bed to Support Measurement Science for Monitoring, Diagnostics, and Prognostics," Proceedings of the ASME 2018 13th International Manufacturing Science and Engineering Conference MSEC2018, 2018.
• Guixiu Qiao and Brian A. Weiss, "Quick Health Assessment for Industrial Robot Health Degradation and the Supporting Advanced Sensing Development," Journal of Manufacturing Systems: Special Issue on Smart Manufacturing, vol. 48 part C, 2018. 
• Brian A. Weiss and Alexander S. Klinger, "Identification of Industrial Robot Arm Work Cell Use Cases and a Test Bed to Promote Monitoring, Diagnostic, and Prognostic Technologies," 2017 Annual Conference of the Prognostics and Health Management Society, 2017. 
• Guixiu Qiao and Brian A. Weiss, "Accuracy Degradation Analysis for Industrial Robot Systems," Proceedings of the ASME 2017 12th International Manufacturing Science and Engineering Conference MSEC2017, 2017.
• Guixiu Qiao, Craig I. Schlenoff, and Brian A. Weiss, "Quick Positional Health Assessment for Industrial Robot Prognostics and Health Management (PHM)," IEEE International Conference on Robotics and Automation 2017, 2017.
• Guixiu Qiao and Brian A. Weiss, "Advancing Measurement Science to Assess Monitoring, Diagnostics,and Prognostics for Manufacturing Robotics," International Journal of Prognostics and Health Management (IJPHM) - Special Issue: PHM for Smart Manufacturing Systems, vol. 7, 2016.
• Benjamin Y. Choo, Peter A. Beling, Amy LaViers, Jeremy A. Marvel, and Brian A. Weiss, "Adaptive Multi-scale PHM for Robotic Assembly Processes," 2015 Annual Conference of the Prognostics and Health Management Society, 2015.
• Gerald Heddy, Umer Huzaifa, Peter A. Beling, Yacov Haimes, Jeremy A. Marvel, Brian A. Weiss, and Amy LaViers, "Linear Temporal Logic (LTL) Based Monitoring of Smart Manufacturing Systems," 2015 Annual Conference of the Prognostics and Health Management Society, 2015.

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