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Matthew Krugh
Matthew Krugh
Research Assistant Professor, Clemson University International Center for Automotive Research
Verified email at g.clemson.edu
Title
Cited by
Cited by
Year
A complementary Cyber-Human Systems framework for Industry 4.0 Cyber-Physical Systems
M Krugh, L Mears
Manufacturing Letters, 2018
1352018
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
302016
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
242017
Vibration Analysis Utilizing Unsupervised Learning
E Wescoat, M Krugh, A Henderson, J Goodnough, L Mears
Procedia Manufacturing 34, 876-884, 2019
152019
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
132021
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
132013
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
112018
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
92021
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
92017
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
72016
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
52020
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
52019
Redefining the Digital Triplet for Surrogate System Integration
E Wescoat, M Krugh, V Jansari, L Mears
Manufacturing Letters, 2023
42023
Pervasive environmental sensing for Industry 4.0 as an educational tool
M Krugh, L Mears
Procedia Manufacturing 53, 790-801, 2021
42021
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
32022
Measuring finger engagement during manual assembly operations in automotive assembly
RM Vedant, M Krugh, L Mears
Procedia Manufacturing 34, 1005-1009, 2019
32019
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
22022
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
22022
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
22022
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
22019
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