Publications

Displaying 1 - 25 of 85

Towards a Digital Twin of a Robot Workcell to Support Prognostics and Health Management

December 14, 2022

Author(s)

Deogratias Kibira, Brian A. Weiss

Current maintenance research often includes modeling the equipment degradation to determine degradation and in particular, when any degradation will exceed a specified threshold. Such models can provide critical intelligence to determine an impending

BUILDING A DIGITAL TWIN FOR ROBOT WORKCELL PROGNOSTICS AND HEALTH MANAGEMENT

December 15, 2021

Author(s)

Deogratias Kibira, Guodong Shao, Brian A. Weiss

The application of robot workcells increases the efficiency and cost effectiveness of manufacturing systems. However, during operation, robots naturally degrade leading to performance deterioration. Monitoring, diagnostics, and prognostics (collectively

Maintenance Costs and Advanced Maintenance Techniques in Manufacturing Machinery: Survey and Analysis

April 25, 2021

Author(s)

Douglas Thomas, Brian Weiss

The costs/benefits associated with investing in advanced maintenance techniques is not well understood. Using data collected from manufacturers, we estimate the national losses due to inadequate maintenance and make comparisons between those that rely on

ASSESSMENT OF A NOVEL POSITION VERIFICATION SENSOR TO IDENTIFY AND ISOLATE ROBOT WORKCELL HEALTH DEGRADATION

April 1, 2021

Author(s)

Brian A. Weiss, Jared Kaplan

Manufacturing processes have become increasingly sophisticated leading to greater usage of robotics. Sustaining successful manufacturing robotic operations requires a strategic maintenance program. Without careful planning, maintenance can be very costly

Measurement and Evaluation for Prognostics and Health Management for Manufacturing Operations - Lessons Learned from an Interactive Workshop

January 1, 2021

Author(s)

Brian Weiss, Michael Brundage

Personnel from the National Institute of Standards and Technology (NIST) organized and led a Measurement and Evaluation for Prognostics and Health Management for Manufacturing Operations (ME4PHM) workshop at the 2019 Annual Conference of the Prognostics

Prognostics and Health Management to Improve Resilient Manufacturing

October 23, 2020

Author(s)

Michael P. Brundage, Brian A. Weiss

Manufacturers need to be resilient to effectively mitigate substantial disruptions to manufacturing operations so they may remain competitive. Disruptions resulting from the COVID-19 global pandemic have caused manufacturers to experience new challenges

ASSESSMENT OF A NOVEL POSITION VERIFICATION SENSOR TO IDENTIFY AND ISOLATE ROBOT WORKCELL HEALTH DEGRADATION

June 26, 2020

Author(s)

Brian A. Weiss, Jared Kaplan

Manufacturing processes have become increasingly sophisticated leading to greater usage of robotics. Sustaining successful manufacturing robotic operations requires a strategic maintenance program. Maintenance can be very costly, especially when some

Asset Condition Management: A Framework for Smart, Health-Ready Manufacturing Systems

June 26, 2020

Author(s)

Nancy Diaz-Elsayed, Luis Hernandez, Ravi Rajamani, Brian Weiss

Unscheduled downtime in manufacturing systems can be a major source of lost productivity, profits, and, ultimately, reduced process quality and reliability. However, the incorporation of asset condition management (ACM) into manufacturing systems offers an

Economics of Manufacturing Machinery Maintenance: A Survey and Analysis of U.S. Costs and Benefits

June 1, 2020

Author(s)

Douglas Thomas, Brian Weiss

This report examines U.S. costs of machinery maintenance along with losses due to inadequate maintenance strategies in discrete manufacturing (NAICS 321-339, excluding NAICS 324 and 325) using data collected from U.S. manufacturers. The report further

Summary Report: Meeting of the ASME Standards Subcommittee on Advanced Monitoring, Diagnostics, and Prognostics for Manufacturing Operations Hosted at NIST

March 20, 2020

Author(s)

Brian A. Weiss, Michael P. Brundage, Joan Pellegrino

The National Institute of Standards and Technology (NIST) hosted the ASME Standards Subcommittee Meeting on Advanced Monitoring, Diagnostics, and Prognostics for Manufacturing Operations on May 22-23, at the NIST Gaithersburg (Maryland) campus. The purpose

Summary Report: Standards Requirements Gathering Workshop for Natural Language Analysis

March 2, 2020

Author(s)

Michael P. Brundage, Brian A. Weiss, Joan Pellegrino

The National Institute of Standards and Technology (NIST) hosted the Standards Requirements Workshop for Natural Language Analysis on May 21, 2019, on the NIST Gaithersburg, Maryland campus. The purpose of the workshop was to discuss the current trends

White Paper: Determining When and Where PHM Should be Integrated into Manufacturing Operations

October 28, 2019

Author(s)

Luis Hernandez, Mark Walker, Al Salour, Radu Pavel, Brian Weiss

The ASME Subcommittee on Monitoring, Diagnostics, and Prognostics for Advanced Manufacturing has produced this white paper to highlight the rationale and key considerations behind the initiative to develop guidelines for when and where manufacturers should

DEVELOPING MEASUREMENT SCIENCE TO VERIFY AND VALIDATE THE IDENTIFICATION OF ROBOT WORKCELL DEGRADATION

June 13, 2019

Author(s)

Brian A. Weiss

Robot systems have become more prevalent in manufacturing operations as the technology has become more accessible to a wider range of manufacturers, especially small to medium-sized organizations. Although these technologies have become more affordable

Summary Report on the Industry Forum for Monitoring, Diagnostics, and Prognostics for Manufacturing Operations

April 24, 2019

Author(s)

Brian A. Weiss, Michael P. Brundage, Yannick Tamm, Tommi Makila, Joan Pellegrino

The National Institute of Standards and Technology (NIST) hosted the Industry Forum: Advanced Monitoring, Diagnostic, and Prognostic for Manufacturing Operations on May 8-11, 2018, on the NIST Gaithersburg (Maryland) campus. The purpose of the Industry

Selecting Optimal Data for Creating Informed Maintenance Decisions in a Manufacturing Environment

April 1, 2019

Author(s)

Michael E. Sharp, Michael P. Brundage, Timothy A. Sprock, Brian A. Weiss

Proper data availability within a manufacturing enterprise directly drives the ability of industry decision makers to function and operate at optimal effectiveness. The needs of decision makers can vary greatly based on, not only the level at which the

Examining Workcell Kinematic Chains to Identify Sources of Positioning Degradation

September 26, 2018

Author(s)

Alexander S. Klinger, Brian A. Weiss

Automated industrial workcells are becoming increasingly complex and varied due to greater accessibility of advanced robotic and sensing technologies. Degradation monitoring and diagnostics must advance to reduce the impact of increased system complexity

Monitoring, Diagnostics, and Prognostics for Robot Tool Center Accuracy Degradation

June 21, 2018

Author(s)

Guixiu Qiao, Brian A. Weiss

Over time, robots degrade because of age and wear, leading to decreased reliability and increased potential for faults and failures. The effect of faults and failures impacts robot availability. Economic factors motivate facilities and factories to improve

ROBOTIC WORK CELL TEST BED TO SUPPORT MEASUREMENT SCIENCE FOR MONITORING, DIAGNOSTICS, AND PROGNOSTICS

June 21, 2018

Author(s)

Alexander S. Klinger, Brian A. Weiss

Industrial robotics users, integrators, and manufacturers are implementing advanced monitoring, diagnostics, and prognostics (collectively known as Prognostics and Health Management (PHM)) techniques and technologies. PHM can take many different forms when

Quick health assessment for industrial robot health degradation and the supporting advanced sensing development

June 1, 2018

Author(s)

Guixiu Qiao, Brian A. Weiss

Robotic technologies are becoming more integrated with complex manufacturing environments. The addition of greater complexity leads to more sources of faults and failures that impact a robot system's reliability. Industrial robot health degradation needs

Developing a Hierarchical Decomposition Methodology to Increase Manufacturing Process and Equipment Health Awareness

March 23, 2018

Author(s)

Brian A. Weiss, Michael E. Sharp, Alexander S. Klinger

Manufacturing systems are becoming increasingly complex as more advanced and emerging technologies are integrated into the factory floor to yield new processes or increase the efficiency of existing processes. As greater complexity is formed across the

Hierarchical Modeling of a Manufacturing Work Cell to Promote Contextualized PHM Information Across Multiple Levels

February 19, 2018

Author(s)

Michael E. Sharp, Brian A. Weiss

With the ever-increasing demand for reconfigurability and modularity in manufacturing, industrial work cells are increasingly integrating newer and more diverse technologies to not only support the production of a wider range of parts, but also ease the

Summary Report on a Workshop on Advanced Monitoring, Diagnostics, and Prognostics for Manufacturing Operations

November 13, 2017

Author(s)

Brian A. Weiss, Donnie Alonzo, Steve D. Weinman

The American Society of Mechanical Engineers (ASME), in collaboration with the National Institute of Standards and Technology, hosted a "Workshop on Advanced Monitoring, Diagnostic, and Prognostic Technologies" at the conclusion of the ASME Manufacturing

Identification of Industrial Robot Arm Work Cell Use Cases and a Test Bed to Promote Monitoring, Diagnostic, and Prognostic Technologies

October 4, 2017

Author(s)

Brian A. Weiss, Alexander S. Klinger

The National Institute of Standards and Technology (NIST) is performing research to advance the state of the art in monitoring, diagnostic, and prognostic technologies to enhance decision-making at the factory floor to promote smarter maintenance and

ACCURACY DEGRADATION ANALYSIS FOR INDUSTRIAL ROBOT SYSTEMS

June 7, 2017

Author(s)

Guixiu Qiao, Brian A. Weiss

As robot systems become increasingly prevalent in manufacturing environments, the need for improved accuracy continues to grow. Recent accuracy improvements have greatly enhanced automotive and aerospace manufacturing capabilities, including high-precision

HIERARCHICAL DECOMPOSITION OF A MANUFACTURING WORK CELL TO PROMOTE MONITORING, DIAGNOSTICS, AND PROGNOSTICS

June 7, 2017

Author(s)

Brian A. Weiss, Guixiu Qiao

Manufacturing operations are typically complex, especially when considering industrial robot systems. The execution of robot-driven tasks requires the integration of multiple layers of hardware and software. The development and integration of monitoring

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