Follow
Rachael T Sexton
Title
Cited by
Cited by
Year
Technical language processing: Unlocking maintenance knowledge
MP Brundage, T Sexton, M Hodkiewicz, A Dima, S Lukens
Manufacturing Letters 27, 42-46, 2021
862021
Hybrid datafication of maintenance logs from AI-assisted human tags
T Sexton, MP Brundage, M Hoffman, KC Morris
2017 ieee international conference on big data (big data), 1769-1777, 2017
732017
Benchmarking for keyword extraction methodologies in maintenance work orders
T Sexton, M Hodkiewicz, MP Brundage, T Smoker
Proceedings of the Annual Conference of the PHM Society 10 (1), 2018
492018
Where do we start? Guidance for technology implementation in maintenance management for manufacturing
MP Brundage, T Sexton, M Hodkiewicz, KC Morris, J Arinez, F Ameri, J Ni, ...
International Manufacturing Science and Engineering Conference 58745 …, 2019
382019
Adapting natural language processing for technical text
A Dima, S Lukens, M Hodkiewicz, T Sexton, MP Brundage
Applied AI Letters, e33, 2021
372021
Toward Semi-autonomous Information Extraction for Unstructured Maintenance Data in Root Cause Analysis
M Sharp, T Sexton, MP Brundage
IFIP International Conference on Advances in Production Management Systems …, 2017
33*2017
Developing maintenance key performance indicators from maintenance work order data
MP Brundage, KC Morris, T Sexton, S Moccozet, M Hoffman
International manufacturing science and engineering conference 51371 …, 2018
312018
Learning an optimization algorithm through human design iterations
T Sexton, MY Ren
Journal of Mechanical Design 139 (10), 101404, 2017
262017
Discovering critical KPI factors from natural language in maintenance work orders
M Navinchandran, ME Sharp, MP Brundage, TB Sexton
Journal of Intelligent Manufacturing, 1-19, 2022
252022
Nestor: A tool for natural language annotation of short texts
TB Sexton, MP Brundage
Journal of Research of the National Institute of Standards and Technology 124, 1, 2019
232019
Rethinking maintenance terminology for an industry 4.0 future
M Hodkiewicz, S Lukens, MP Brundage, T Sexton
International Journal of Prognostics and Health Management 12 (1), 2021
172021
Studies to predict maintenance time duration and important factors from maintenance workorder data
M Navinchandran, ME Sharp, MP Brundage, TB Sexton
Annual Conference of the PHM Society 11 (1), 2019
172019
Categorization errors for data entry in maintenance work-orders
T Sexton, M Hodkiewicz, MP Brundage
Proceedings of the Annual Conference of the PHM Society 11, 2019
142019
A visual analytics approach for the diagnosis of heterogeneous and multidimensional machine maintenance data
X Zhang, T Fujiwara, S Chandrasegaran, MP Brundage, T Sexton, A Dima, ...
2021 IEEE 14th Pacific Visualization Symposium (PacificVis), 196-205, 2021
132021
Organizing tagged knowledge: similarity measures and semantic fluency in structure mining
T Sexton, M Fuge
Journal of Mechanical Design 142 (3), 031111, 2020
102020
Agreement behavior of isolated annotators for maintenance work-order data mining
EM Hastings, T Sexton, MP Brundage, M Hodkiewicz
Proc. of the Annual Conference of the Prognostics and Health Management …, 2019
102019
Predictive Model Markup Language (PMML) representation of Bayesian networks: An application in manufacturing
S Nannapaneni, A Narayanan, R Ak, D Lechevalier, T Sexton, ...
Smart and sustainable manufacturing systems 2, 2018
72018
Labelvizier: Interactive validation and relabeling for technical text annotations
X Zhang, X Xuan, A Dima, T Sexton, KL Ma
2023 IEEE 16th Pacific Visualization Symposium (PacificVis), 167-176, 2023
42023
Using semantic fluency models improves network reconstruction accuracy of tacit Engineering knowledge
T Sexton, M Fuge
International Design Engineering Technical Conferences and Computers and …, 2019
42019
Standards needs for maintenance work order analysis in manufacturing
T Sexton, M Brundage
Proceedings of the 2019 Model-Based Enterprise (MBE) Summit, 2019
42019
The system can't perform the operation now. Try again later.
Articles 1–20