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Displaying 1 - 25 of 46

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

MSEC: A QUANTITATIVE RETROSPECTIVE

June 25, 2020
Author(s)
Rachael Sexton, Michael Brundage, Alden A. Dima, Michael Sharp
The Manufacturing Science and Engineering Conference (MSEC) in 2020 is the 15th annual conference put on by the Manufacturing Engineering Division (MED) of ASME. MED and ASME MSEC focuses on manufacturing sciences, technology, and applications, including

Using Text Visualization to aid Analysis of Machine Maintenance Logs

April 30, 2020
Author(s)
Michael P. Brundage, Senthil K. Chandrasegaran, Xiaoyu Zhang, Kwan-Liu Ma
Maintenance and error logs for machines in manufacturing organizations are typically written as informal notes by operators or technicians working on the machines. These logs are written using a combination of common language and internally-used

Nestor: A Tool for Natural Language Annotation of Short Texts

November 1, 2019
Author(s)
Thurston B. Sexton, Michael P. Brundage
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

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