Technical language processing: Unlocking maintenance knowledge MP Brundage, T Sexton, M Hodkiewicz, A Dima, S Lukens Manufacturing Letters 27, 42-46, 2021 | 94 | 2021 |
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 | 76 | 2017 |
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 | 51 | 2018 |
Adapting natural language processing for technical text A Dima, S Lukens, M Hodkiewicz, T Sexton, MP Brundage Applied AI Letters, e33, 2021 | 46 | 2021 |
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 | 42 | 2019 |
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 | 34* | 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 | 31 | 2018 |
Learning an optimization algorithm through human design iterations T Sexton, MY Ren Journal of Mechanical Design 139 (10), 101404, 2017 | 27 | 2017 |
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 | 26 | 2022 |
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 | 24 | 2019 |
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 | 17 | 2021 |
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 | 17 | 2019 |
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 | 15 | 2019 |
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 | 13 | 2021 |
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 | 11 | 2019 |
Organizing tagged knowledge: similarity measures and semantic fluency in structure mining T Sexton, M Fuge Journal of Mechanical Design 142 (3), 031111, 2020 | 10 | 2020 |
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 | 7 | 2023 |
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 | 7 | 2018 |
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 | 4 | 2019 |
Standards needs for maintenance work order analysis in manufacturing T Sexton, M Brundage Proceedings of the 2019 Model-Based Enterprise (MBE) Summit, 2019 | 4 | 2019 |