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Search Publications by: Rachael T. Sexton (Fed)

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Displaying 26 - 50 of 51

Nestor: A Tool for Natural Language Annotation of Short Texts

November 1, 2019
Author(s)
Michael Brundage, Rachael Sexton
Nestor is a software tool that annotates natural language CSV (comma-separated variable) files, with a UTF-8 encoding, using a process called tagging [1]. The outputted annotated datasets (as either a CSV or .h5 file) can be used for different analysis

Agreement Behavior of Isolated Annotators for Maintenance Work-Order Data Mining

September 27, 2019
Author(s)
Emily Hastings, Thurston Sexton, Michael Brundage, Melinda Hodkiewicz
Maintenance work orders (MWOs) are an integral part of the maintenance workflow. These documents allow technicians to capture vital aspects of a maintenance job: observed symptoms, potential causes, solutions implemented, etc. These MWOs have often been

Categorization Errors for Data Entry in Maintenance Work-Orders

September 24, 2019
Author(s)
Thurston B. Sexton, Melinda Hodkiewicz, Michael P. Brundage
In manufacturing, there is a significant push toward the digitization of processes and decision making, by increasing the level of automation and networking via cyber-physical systems, and machine learning methods that can parse useful patterns from these

Where do we start? Guidance for technology implementation in maintenance management for manufacturing

July 23, 2019
Author(s)
Michael P. Brundage, Thurston B. Sexton, Melinda Hodkiewicz, Katherine C. Morris, Jorge Arinez, Farhad Ameri, Jun Ni, Guoxian Xiao
Recent efforts in Smart Manufacturing (SM) have proven quite effective at elucidating system behavior using sensing systems, communications and computational platforms, along with statistical methods to collect and analyze real-time performance data

WHERE DO WE START? GUIDANCE FOR TECHNOLOGY IMPLEMENTATION IN MAINTENANCE MANAGEMENT FOR MANUFACTURING

July 23, 2019
Author(s)
Michael P. Brundage, Thurston B. Sexton, Melinda Hodkiewicz, Katherine C. Morris, Jorge Arinez, Farhad Ameri, Jun Ni, Guoxian Xiao
Recent efforts in Smart Manufacturing (SM) have proven quite effective at elucidating system behavior using sensing systems, communications and computational platforms, along with statistical methods to collect and analyze real-time performance data

Standards Needs for Maintenance Work Order Analysis in Manufacturing

April 3, 2019
Author(s)
Thurston Sexton, Michael Brundage
To bolster the efficiency and performance of maintenance work in manufacturing-maintenance being one of the key components to ensuring successful long-term operations-it is becoming increasingly necessary to ensure that maintenance operations are capable

Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing

October 2, 2018
Author(s)
Saideep Nannapaneni, Anantha Narayanan Narayanan, Ronay Ak, David Lechevalier, Thurston Sexton, Sankaran Mahadevan, Yung-Tsun Lee
Bayesian networks (BNs) represent a promising approach for the aggregation of multiple uncertainty sources in manufacturing networks and other engineering systems for the purposes of uncertainty quantification, risk analysis, and quality control. A

Benchmarking for keyword extraction methodologies in maintenance work orders

September 24, 2018
Author(s)
Thurston B. Sexton, Michael P. Brundage, Melinda Hodkiewicz, Thomas Smoker
Maintenance has largely remained a human-knowledge centered activity, with the primary records of maintenance activity being text-based maintenance work orders (MWOs) that attempt to encode the diagnostic processes of technicians. However, the bulk of

Hybrid Datafication of Maintenance Logs from AI-Assisted Human Tags

January 15, 2018
Author(s)
Thurston B. Sexton, Michael P. Brundage, Michael L. Hoffman, Katherine C. Morris
One of the main challenges of applying AI to some datasets derives from the datasets themselves being unstructured, unclear, and ambiguous. Furthermore, the insights that are to be gained reflect the quality of the data itself; if the data is skewed, so