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Displaying 1326 - 1350 of 4225

Analysis and Optimization in Smart Manufacturing based on a Reusable Knowledge Base for Process Performance Models

November 1, 2015
Author(s)
Alexander Brodsky, Guodong Shao, Mohan Krishnamoorthy, Anantha Narayanan Narayanan, Daniel Menasce?, Ronay Ak
In this paper, we propose an architectural design and software framework for fast development of descriptive, predictive, diagnostic, and prescriptive analytics solutions for dynamic production processes. The proposed architecture and framework are based

A Neural Network Meta-Model and its Application for Manufacturing

October 29, 2015
Author(s)
David J. Lechevalier, Ronay Ak, Steven Hudak, Yung-Tsun T. Lee, Sebti Foufou
Manufacturing generates a vast amount of data both from operations and simulation. Extracting appropriate information from this data can provide insights to increase a manufacturer's competitive advantage through improved sustainability, productivity, and

Automated uncertainty quantification analysis using system model and data

October 29, 2015
Author(s)
Saideep Nannapaneni, Sankaran Mahadevan, David Lechevalier, Anantha Narayanan Narayanan, Sudarsan Rachuri
Understanding the sources of, and quantifying the magnitude of, uncertainty can improve decision-making and, thereby, make manufacturing systems more efficient. Accomplishing all of them requires knowledge in four separate domains: statistics, data science

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

A 3D PRINTING FLEXURE PRESSURE SENSOR FOR ROBOT IMPACT SAFETY TESTING

October 9, 2015
Author(s)
Hongliang Shi, Yong Sik Kim, Nicholas G. Dagalakis, Duan Xuechao
This paper presents a flexure pressure sensor fabricated by means of 3D printing. This sensor combined with a biosimulant artifact from National Institute of Standards and Technology (NIST) is used to measure the severity of injuries caused in the case of

Intelligence Level Performance Standards Research for Autonomous Vehicles

October 1, 2015
Author(s)
Roger V. Bostelman, Tsai H. Hong, Elena R. Messina
U.S. and European safety standards have evolved to protect workers near Automated Guided Vehicles (AGV's). However, only recently performance standards have begun development for AGV's and mobile robots. Lessons can be learned for developing such a
Displaying 1326 - 1350 of 4225
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