Jun Ni
Orcid: 0000-0002-2408-7468Affiliations:
- University of Michigan, Department of Mechanical Engineering, Ann Arbor, MI, USA
- Shanghai Jiao Tong University, Industrial Innovation Center, China
According to our database1,
Jun Ni
authored at least 28 papers
between 2003 and 2023.
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Bibliography
2023
Control Barrier Functionals for Safety-Critical Control of Registration Accuracy in Roll-to-Roll Printing Systems.
IEEE Control. Syst. Lett., 2023
Stochastic Deep Koopman Model for Quality Propagation Analysis in Multistage Manufacturing Systems.
CoRR, 2023
Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis.
CoRR, 2023
Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and Remaining Useful Life Estimation.
CoRR, 2023
2021
A Deep Fuzzy Semi-supervised Approach to Clustering and Fault Diagnosis of Partially Labeled Semiconductor Manufacturing Data.
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021
2020
Editorial: Data-Driven Cognitive Manufacturing - Applications in Predictive Maintenance and Zero Defect Manufacturing.
Frontiers Comput. Sci., 2020
Utilizing Timed Petri Nets to Guide Data-Driven Fault Diagnosis of PLC-Timed Event Systems.
Proceedings of the Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, 2020
2019
Twofold Variation Propagation Modeling and Analysis for Roll-to-Roll Manufacturing Systems.
IEEE Trans Autom. Sci. Eng., 2019
2018
IEEE Trans Autom. Sci. Eng., 2018
2015
Operating load based real-time rolling grey forecasting for machine health prognosis in dynamic maintenance schedule.
J. Intell. Manuf., 2015
Production-driven opportunistic maintenance for batch production based on MAM-APB scheduling.
Eur. J. Oper. Res., 2015
2014
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014
2013
IEEE Trans Autom. Sci. Eng., 2013
2011
J. Intell. Manuf., 2011
2010
Immune Systems Inspired Approach to Anomaly Detection, Fault Localization and Diagnosis in Automotive Engines.
Proceedings of the Applications of Neural Networks in High Assurance Systems, 2010
Qual. Reliab. Eng. Int., 2010
J. Intell. Manuf., 2010
2008
Maintenance scheduling in manufacturing systems based on predicted machine degradation.
J. Intell. Manuf., 2008
Optimized maintenance design for manufacturing performance improvement using simulation.
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008
2007
Similarity based method for manufacturing process performance prediction and diagnosis.
Comput. Ind., 2007
Immune Systems Inspired Approach to Anomaly Detection and Fault Diagnosis for Engines.
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Stream-of-Variation (SoV)-Based Measurement Scheme Analysis in Multistation Machining Systems.
IEEE Trans Autom. Sci. Eng., 2006
Growing Structure Multiple Model System Based Anomaly Detection for Crankshaft Monitoring.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2005
Introduction to e-Manufacturing.
Proceedings of the Industrial Information Technology Handbook, 2005
2003
Editorial.
Adv. Eng. Informatics, 2003
Watchdog Agent - an infotronics-based prognostics approach for product performance degradation assessment and prediction.
Adv. Eng. Informatics, 2003