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Displaying 1 - 25 of 88

Adapting natural language processing for technical text

June 29, 2021
Author(s)
Alden A. Dima, Sarah Lukens, Melinda Hodkiewicz, Thurston Sexton, Michael Brundage
Despite recent dramatic successes, Natural Language Processing (NLP) is not ready to address a variety of real-world problems. Its reliance on large standard corpora, a training and evaluation paradigm that favors the learning of shallow heuristics, and

A Visual Analytics Approach for the Diagnosis of Heterogeneous and Multidimensional Machine Maintenance Data

May 10, 2021
Author(s)
Xiaoyu Zhang, Takanori Fujiwara, Senthil K. Chandrasegaran, Michael Brundage, Thurston Sexton, Alden A. Dima, Kwan-Liu Ma
Analysis of large, high-dimensional, and heterogeneous datasets is challenging as no one technique is suitable for visualizing and clustering such data in order to make sense of the underlying information. For instance, heterogeneous logs detailing machine

Discovering Critical KPI Factors from Natural Language in Maintenance Work Orders

April 22, 2021
Author(s)
Michael Sharp, Michael Brundage, Rachael Sexton, Fnu Madhusudanan Navinchandran
Optimizing maintenance practices is a continuous process that must take into account the evolving state of the equipment, resources, workers, and more. To help streamline this process, facilities need a concise procedure for identifying critical tasks and

Rethinking maintenance terminology for an Industry 4.0 future

March 22, 2021
Author(s)
Melinda Hodkiewicz, Sarah Lukens, Michael Brundage, Thurston Sexton
Sensors and mathematical models have been used since the 1990's to assess the health of systems and diagnose anomalous behavior. The advent of the Internet of Things (IoT) increases the range of assets on which data can be collected cost effectively. Cloud

A Data-Driven Framework for Team Formation for Maintenance Tasks

February 16, 2021
Author(s)
Maya Reslan, Emily Hastings, Michael Brundage, Thurston Sexton
Even as maintenance evolves with new technologies, it is still a heavily human-driven domain; multiple steps in the maintenance workflow still require human expertise and intervention. Various maintenance activities require multiple maintainers, all with

Technical Language Processing: Unlocking Maintenance Knowledge

December 11, 2020
Author(s)
Michael P. Brundage, Thurston B. Sexton, Melinda Hodkiewicz, Alden A. Dima, Sarah Lukens
Out-of-the-box natural-language processing (NLP) pipelines need re-imagining to understand and meet the requirements of the engineering sector. Text-based documents account for a significant portion of data collected during the life cycle of asset

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