| A complementary Cyber-Human Systems framework for Industry 4.0 Cyber-Physical Systems M Krugh, L Mears Manufacturing Letters, 2018 | 121 | 2018 |
| Prediction of Defect Propensity for the Manual Assembly of Automotive Electrical Connectors M Krugh, K Antani, L Mears, J Schulte Procedia Manufacturing 5, 144-157, 2016 | 27 | 2016 |
| Measurement of operator-machine interaction on a chaku-chaku assembly line M Krugh, E McGee, S McGee, L Mears, A Ivanco, KC Podd, B Watkins Procedia Manufacturing 10, 123-135, 2017 | 22 | 2017 |
| Vibration Analysis Utilizing Unsupervised Learning E Wescoat, M Krugh, A Henderson, J Goodnough, L Mears Procedia Manufacturing 34, 876-884, 2019 | 12 | 2019 |
| An investigation of anisotropic behavior on 5083 aluminum alloy using electric current AD Pleta, MC Krugh, C Nikhare, JT Roth ASME 2013 International Manufacturing Science and Engineering Conference …, 2013 | 12 | 2013 |
| Background noise mitigation of dual microphone system for defect detection in electrical cable connection NS Joshi, S Singh, M Krugh, L Mears Procedia Manufacturing 26, 1287-1295, 2018 | 10 | 2018 |
| Random forest regression for predicting an anomalous condition on a UR10 cobot end-effector from purposeful failure data E Wescoat, M Krugh, L Mears Procedia Manufacturing 53, 644-655, 2021 | 8 | 2021 |
| Parametrization of manual work in automotive assembly for wearable force sensing S Kerner, S Gunasekar, RM Vedant, M Krugh, L Mears Journal of Manufacturing Systems 59, 686-700, 2021 | 7 | 2021 |
| Designing for Reuse in an Industrial Internet of Things Monitoring Application ET McGee, M Krugh, JD McGregor, L Mears Proceedings of the 2nd Workshop on Social, Human, and Economic Aspects of …, 2017 | 7 | 2017 |
| Statistical Modeling of Defect Propensity in Manual Assembly as Applied to Automotive Electrical Connectors M Krugh, K Antani, L Mears, J Schulte Procedia CIRP 44, 441-446, 2016 | 6 | 2016 |
| Associate Finger Engagement During Manual Assembly in Automotive Production for Smart Wearable Systems M Krugh, RM Vedant, RS Garimella, A Baburaj, E Wescoat, L Mears Procedia Manufacturing 39, 251-259, 2019 | 5 | 2019 |
| Closed Loop Feedback Mechanism Effect Pilot Investigation on Manual Assembly Time and Process Variation M Krugh, RS Garimella, A Baburaj, E Wescoat, L Mears Procedia Manufacturing 48, 95-104, 2020 | 4 | 2020 |
| Pervasive environmental sensing for Industry 4.0 as an educational tool M Krugh, L Mears Procedia Manufacturing 53, 790-801, 2021 | 3 | 2021 |
| Measuring finger engagement during manual assembly operations in automotive assembly RM Vedant, M Krugh, L Mears Procedia Manufacturing 34, 1005-1009, 2019 | 3 | 2019 |
| Data augmentation using spectral failure deltas to diagnose bearing failure E Wescoat, M Krugh, L Mears ASME International Mechanical Engineering Congress and Exposition 86649 …, 2022 | 2 | 2022 |
| Evaluation of Wearable Visual Assistance System for Manual Automotive Assembly A Baburaj, RS Garimella, GN Pillai, V Eswar, M Krugh, L Mears Procedia Manufacturing 39, 141-148, 2019 | 2 | 2019 |
| Redefining the Digital Triplet for Surrogate System Integration E Wescoat, M Krugh, V Jansari, L Mears Manufacturing Letters, 2023 | 1 | 2023 |
| Classification Analysis of Bearing Contrived Dataset under Different Levels of Contamination S Manjunath, E Wescoat, VG Jansari, M Krugh, L Mears 2022 IEEE International Symposium on Software Reliability Engineering …, 2022 | 1 | 2022 |
| Contamination factor prediction using contrived data for bearing useful life estimation E Wescoat, J Bradford, M Krugh, L Mears Manufacturing Letters 33, 850-861, 2022 | 1 | 2022 |
| Wearable shear and normal force sensing glove development for real-time feedback on assembly line processes S Kerner, M Krugh, L Mears Journal of Manufacturing Systems 64, 668-675, 2022 | 1 | 2022 |
