Publications

Displaying 26 - 46 of 46

Understanding and Evaluating Naive Diagnostics Algorithms Applicable in Multistage Manufacturing from a Risk Management Perspective

June 21, 2020

Author(s)

Mehdi Dadfarnia, Michael Sharp, Timothy A. Sprock

The world has entered a state of unprecedented access to machine intelligence algorithms, where the ease of deployment has created a scenario where nearly every facet of life and industry has been affected by AI. Especially within industry, where the

Studies to Predict Maintenance Time Duration and Important Factors From Maintenance Workorder Data

September 26, 2019

Author(s)

Fnu Madhusudanan Navinchandran, Michael E. Sharp, Michael P. Brundage, Thurston B. Sexton

Maintenance Work Orders (MWOs) are a useful way of recording semi-structured information regarding maintenance activities in a factory or other industrial setting. Analysis of these MWOs could provide valuable insights regarding the many facets of

Integrated Operations Management for Distributed Manufacturing

August 28, 2019

Author(s)

Timothy A. Sprock, Michael E. Sharp, William Z. Bernstein, Michael P. Brundage, Moneer M. Helu, Thomas D. Hedberg Jr.

In traditional manufacturing operations management systems, the four pillars of ISA-95 (production, quality, maintenance, inventory) are each implemented as separate software systems. Each system independently manages its own data, operational decision

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

Observations on Developing Anomaly Detection Programs with Case Study: Robotic Arm Manipulators

February 13, 2019

Author(s)

Michael E. Sharp

Manufacturing environments face many unique challenges in regards to balancing high standards of both product quality and production efficiency. Proper diagnostic health assessment is essential for maximizing uptime and maintaining product and process

Design, Manufacturing, and Inspection Data for a Three-Component Assembly

February 12, 2019

Author(s)

Thomas D. Hedberg, Michael E. Sharp, Toby M. Maw, Mostafizur M. Rahman, Swati Jadhav, James J. Whicker, Allison Barnard Feeney, Moneer M. Helu

To better understand and address the challenges faced in linking all stages of a manufacturing and design process, an investigative fabrication process was designed and enacted as part of a collaboration between the National Institute of Standards and

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

A Survey of the Advancing Use and Development of Machine Learning in Smart Manufacturing

March 5, 2018

Author(s)

Michael Sharp, Ronay Ak, Thomas D. Hedberg Jr.

Artificial intelligence (AI) and machine learning (ML) are gaining in popularity across entertainment, commerce, and increasingly in industrial settings. The wide applicability and rapid development options of these algorithms are allowing for concepts and

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

Diagnostics of machine tool linear axes via separation of geometric error sources

October 4, 2017

Author(s)

Gregory W. Vogl, Michael Sharp

Manufacturers need automated, efficient, and robust methods to diagnose the condition of their machine tool linear axes with minimal disruptions to production. Recently, a method was developed to use data from an inertial measurement unit (IMU) to measure

Semi-Autonomous Labeling of Unstructured Maintenance Log Data for Diagnostic Root Cause Analysis

September 7, 2016

Author(s)

Michael E. Sharp, Thurston B. Sexton, Michael P. Brundage

To facilitate root cause analysis in the manufacturing in- dustry, maintenance technicians often ll out \maintenance tickets" to track issues and corresponding corrective actions. A database of these maintenance-logs can thus provide problem descriptions

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