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Displaying 26 - 50 of 171

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

Industrial Robot Accuracy Degradation Monitoring and Quick Health Assessment

May 14, 2019

Author(s)

Helen Qiao, Brian A. Weiss

Robot accuracy degradation monitoring and assessment are critical activities in many industrial robot applications, especially when it comes to maintaining the high accuracy required operations, such as welding, material removal, robotic drilling, and

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