Watchdog Agent - an infotronics-based prognostics approach for product performance degradation assessment and prediction. - Dragan Djurdjanovic; Jay Lee; Jun Ni 002 (Adv. Eng. Informatics, 2003)

Editorial. - Jay Lee; Jun Ni 002 (Adv. Eng. Informatics, 2003)

Introduction to e-Manufacturing. - Muammer Koc; Jun Ni 002; Jay Lee; Pulak Bandyopadhyay (The Industrial Information Technology Handbook, 2005)

Growing Structure Multiple Model System Based Anomaly Detection for Crankshaft Monitoring. - Jianbo Liu; Pu Sun; Dragan Djurdjanovic; Kenneth A. Marko; Jun Ni 002 (ISNN (2), 2006)

Intelligent prognostics tools and e-maintenance. - Jay Lee; Jun Ni 002; Dragan Djurdjanovic; Hai Qiu; Haitao Liao (Comput. Ind., 2006)

Stream-of-Variation (SoV)-Based Measurement Scheme Analysis in Multistation Machining Systems. - Dragan Djurdjanovic; Jun Ni 002 (IEEE Trans Autom. Sci. Eng., 2006)

Immune Systems Inspired Approach to Anomaly Detection and Fault Diagnosis for Engines. - Dragan Djurdjanovic; Jianbo Liu; Kenneth A. Marko; Jun Ni 002 (IJCNN, 2007)

Similarity based method for manufacturing process performance prediction and diagnosis. - Jianbo Liu; Dragan Djurdjanovic; Jun Ni 002; Nicolas Casoetto; Jay Lee (Comput. Ind., 2007)

Diagnosability study for quality improvement based on distributed sensing and information technology. - Shichang Du; Lifeng Xi; Ershun Pan; Jianjun Shi 001; Jun Ni 002; C. Richard Liu (Int. J. Comput. Appl. Technol., 2007)

Maintenance staffing management. - Qing Chang 001; Jun Ni 002; Pulak Bandyopadhyay; Stephan Biller; Guoxian Xiao (J. Intell. Manuf., 2007)

Optimized maintenance design for manufacturing performance improvement using simulation. - Ahad Ali; Xiaohui Chen; Ziming Yang; Jay Lee; Jun Ni 002 (WSC, 2008)

Product lifecycle-oriented quality and productivity improvement based on stream of variation methodology. - Shichang Du; Lifeng Xi; Jun Ni 002; Ershun Pan; C. Richard Liu (Comput. Ind., 2008)

Maintenance scheduling in manufacturing systems based on predicted machine degradation. - Zimin (Max) Yang; Dragan Djurdjanovic; Jun Ni 002 (J. Intell. Manuf., 2008)

Production line simulation using STPN for maintenance scheduling. - Yong Lei; Jianbo Liu; Jun Ni 002; Jay Lee (J. Intell. Manuf., 2010)

DeviceNet reliability assessment using physical and data link layer parameters. - Yong Lei; Dragan Djurdjanovic; Jun Ni 002 (Qual. Reliab. Eng. Int., 2010)

Immune Systems Inspired Approach to Anomaly Detection, Fault Localization and Diagnosis in Automotive Engines. - Dragan Djurdjanovic; Jianbo Liu; Kenneth A. Marko; Jun Ni 002 (Applications of Neural Networks in High Assurance Systems, 2010)

DeviceNet network health monitoring using physical layer parameters. - Yong Lei; Dragan Djurdjanovic; Leandro G. Barajas; Gary Workman; Stephan Biller; Jun Ni 002 (J. Intell. Manuf., 2011)

Assembly Strategies for Remanufacturing Systems With Variable Quality Returns. - Xiaoning Jin; S. Jack Hu; Jun Ni 002; Guoxian Xiao (IEEE Trans Autom. Sci. Eng., 2013)

Threshold-type admission policy for remanufacturing systems. - Xiaoning Jin; Jun Ni 002; S. Jack Hu; Guoxian Xiao; Qing Chang 001 (CASE, 2014)

Production-driven opportunistic maintenance for batch production based on MAM-APB scheduling. - Tangbin Xia; Xiaoning Jin; Lifeng Xi; Jun Ni 002 (Eur. J. Oper. Res., 2015)

Operating load based real-time rolling grey forecasting for machine health prognosis in dynamic maintenance schedule. - Tangbin Xia; Xiaoning Jin; Lifeng Xi; Yuejun Zhang; Jun Ni 002 (J. Intell. Manuf., 2015)

Reconfiguration-oriented opportunistic maintenance policy for reconfigurable manufacturing systems. - Tangbin Xia; Lifeng Xi; Ershun Pan; Jun Ni 002 (Reliab. Eng. Syst. Saf., 2017)

Event-Based Supervisory Control for Energy Efficient Manufacturing Systems. - Yang Li 014; Qing Chang 001; Jun Ni 002; Michael P. Brundage (IEEE Trans Autom. Sci. Eng., 2018)

Twofold Variation Propagation Modeling and Analysis for Roll-to-Roll Manufacturing Systems. - Huanyi Shui; Xiaoning Jin; Jun Ni 002 (IEEE Trans Autom. Sci. Eng., 2019)

Utilizing Timed Petri Nets to Guide Data-Driven Fault Diagnosis of PLC-Timed Event Systems. - Joseph Cohen; Baoyang Jiang; Jun Ni 002 (SCIS/ISIS, 2020)

Editorial: Data-Driven Cognitive Manufacturing - Applications in Predictive Maintenance and Zero Defect Manufacturing. - Dimitris Kiritsis; Óscar Lázaro; Melinda Hodkiewicz; Jay Lee; Jun Ni 002 (Frontiers Comput. Sci., 2020)

A Deep Fuzzy Semi-supervised Approach to Clustering and Fault Diagnosis of Partially Labeled Semiconductor Manufacturing Data. - Joseph Cohen; Jun Ni 002 (NAFIPS, 2021)

Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and Remaining Useful Life Estimation. - Joseph Cohen; Xun Huan; Jun Ni 002 (CoRR, 2023)

Stochastic Deep Koopman Model for Quality Propagation Analysis in Multistage Manufacturing Systems. - Zhiyi Chen; Harshal Maske; Huanyi Shui; Devesh Upadhyay; Michael Hopka; Joseph Cohen; Xingjian Lai; Xun Huan; Jun Ni 002 (CoRR, 2023)

Control Barrier Functionals for Safety-Critical Control of Registration Accuracy in Roll-to-Roll Printing Systems. - Zhiyi Chen; Gábor Orosz; Jun Ni 002 (IEEE Control. Syst. Lett., 2023)

Deep Koopman-Based Control of Quality Variation in Multistage Manufacturing Systems. - Zhiyi Chen; Harshal Maske; Devesh Upadhyay; Huanyi Shui; Xun Huan; Jun Ni 002 (ACC, 2024)

Shapley-based explainable AI for clustering applications in fault diagnosis and prognosis. - Joseph Cohen; Xun Huan; Jun Ni 002 (J. Intell. Manuf., 2024)