INDUSTRIAL Ai
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Publications

Center Publications

 

    1. Su Y, Shi J, Hsu Y M, et al. Volumetric nondestructive metrology for 3D semiconductor packaging: A review[J]. Measurement, 2023: 114065.

    2. Taco, John, Pradeep Kundu, and Jay Lee. "A novel technique for multiple failure modes classification based on deep forest algorithm." Journal of Intelligent Manufacturing (2023): 1-15. [link]

    3. Kundu, Pradeep, Marcella Miller, Prayag Gore, Xiaodong Jia, and Jay Lee, "Detection of inception of preload loss and remaining life prediction for ball screw considering change in dynamics due to worktable position," Mechanical Systems and Signal Processing 189 (2023): 110075.

    4. Leitão, Paulo, Stamatis Karnouskos, Thomas I. Strasser, Xiaodong Jia, Jay Lee, and Armando Walter Colombo, "Alignment of the IEEE Industrial Agents Recommended Practice Standard with the Reference Architectures RAMI4. 0, IIRA, and SGAM." IEEE Open Journal of the Industrial Electronics Society 4 (2023): 98-111.

    5. Hsu, Yuan-Ming, Dai-Yan Ji, Marcella Miller, Xiaodong Jia, and Jay Lee, "Intelligent Maintenance of Electric Vehicle Battery Charging Systems and Networks: Challenges and Opportunities." International Journal of Prognostics and Health Management 14, no. 3 (2023).

    6. Lee, Jay, Huwei Dong, and D. J. Pradeep, "Cyber-physical systems framework for predictive metrology in semiconductor manufacturing process." International Journal of Precision Engineering and Manufacturing Smart Technology 1 (2023): 107-113.

    7. Zhu, Feng, Jianshe Feng, Min Xie, Lishuai Li, Jingzhe Lei, and Jay Lee, " An Optimization-based Subset Selection and Summarization Method for Profile Data Mining," IEEE Transactions on Industrial Informatics (2023).

    8. Pandhare, V., Miller, M., Vogel, W., Lee, J., Ball Screw Health Monitoring With Inertial Sensors, IEEE Transactions on Industrial Informatics, Volume: 19, Issue 6, (2023).

    9. Vibhor Pandhare, Elisa Negri; Lorenzo Ragazzini; Laura Cattaneo; Marco Macchi; Jay Lee Digital Twin-enabled robust production scheduling for equipment in degraded state, Journal of Engineering Applications of Artificial Intelligence, (2023).

    10. Feng Zhu, Xiaodong Jia, Wenzhe Li, Min Xie, Lishuai Li, Jay Lee, Cross-chamber Data Transferability Evaluation for Fault Detection and Classification in Semiconductor Manufacturing, IEEE Transactions on Semiconductor Manufacturing, 2022

    11. Jay Lee, Pradeep Kundu, Integrated Cyber-Physical System and Industrial Metaverse for Remote Manufacturing,  Manufacturing Letters, 2022

    12. Jay Lee, Prayag Gore, Xiaodong Jia, Shahin Siahpour, Pradeep Kundu, Keyi Sun, Stream-of-Quality Methodology for Industrial Internet-Based Manufacturing System Manufacturing Letters, 2022

    13. Wenzhe Li, Xiaodong Jia, Yuan-Ming Hsu, Chen-Hong Liao, Yunfei Wang, Mong-Tung Lin, Jay Lee, A Novel Methodology for Lens Matching in Compact Lens Module Assembly, IEEE Transactions on Automation Science and Engineering, 2022

    14. Shahin Siahpour, Xiang Li, Jay Lee, A Novel Transfer Learning Approach in Remaining Useful Life Prediction for Incomplete Dataset, IEEE Transactions on Instrumentation and Measurement, 2022

    15. Yuan-Ming Hsu, Xiaodong Jia, Wenzhe Li, Panayotis Manganaris, Jay Lee, Sequential Optimization of the Injection Molding Gate Locations Using Parallel Efficient Global Optimization, The International Journal of Advanced Manufacturing Technology, 2022

    16. Jay Lee, Shahin Siahpour, Xiaodong Jia, Patrick Brown, Introduction to Resilient Manufacturing Systems, Manufacturing Letters 2022, pp. 24-27

    17. Vibhor Pandhare, Marcella Miller, Greg Vogl, Jay Lee, Ball Screw Health Monitoring with Inertial Sensors, IEEE Transactions on Industrial Informatics, 2022

    18. Ainapure, Abhijeet, Shahin Siahpour, Xiang Li, Faray Majid, Jay Lee, Intelligent Robust Cross-Domain Fault Diagnostic Method for Rotating Machines Using Noisy Condition Labels, Mathematics, 2022

    19. Cai, Haoshu, Jianshe Feng, Qibo Yang, Fei Li, Xiang Li, Jay Lee, Reference-based Virtual Metrology Method with Uncertainty Evaluation for Material Removal Rate Prediction based on Gaussian Process Regression, The International Journal of Advanced Manufacturing Technology, 2021

    20. Cai, Haoshu, Xiaodong Jia, Jianshe Feng, Qibo Yang, Wenzhe Li, Fei Li, Jay Lee, A Unified Bayesian Filtering Framework for Multi-horizon Wind Speed Prediction with Improved Accuracy, Renewable Energy, 2021

    21. Jianshe Feng, Xiaodong Jia, Haoshu Cai, Feng Zhu, Xiang Li, Jay Lee, Cross Trajectory Gaussian Process Regression Model for Battery Health Prediction, Journal of Modern Power Systems and Clean Energy, 2020

    22. Feng Zhu, Xiaodong Jia, Marcella Miller, Xiang Li, Fei Li, Yinglu Wang, Jay Lee. Methodology for Important Sensor Screening for Fault Detection and Classification in Semiconductor Manufacturing. IEEE Transactions on Semiconductor Manufacturing. 10 November 2020. Pages 65-73.

    23. Vibhor Pandhare, Xiang Li, Marcella Miller, Xiaodong Jia, Jay Lee. Intelligent Diagnostics for Ball Screw Fault through Indirect Sensing using Deep Domain Adaptation. IEEE Transactions on Instrumentation and Measurement. Volume 70. 9 December 2020.

    24. Cai, Haoshu, Jianshe Feng, Feng Zhu, Qibo Yang, Xiang Li, Jay Lee. Adaptive virtual metrology method based on Just-in-time reference and particle filter for semiconductor manufacturing. Measurement. Volume 168. 15 January 2021.

    25. Qibo Yang, Xiang Li, Haoshu Cai, Yuan-Ming Hsu, Jay Lee, Chun Hung Yang, Zong Li Li, Ming Yi Lin. Fault prognosis of industrial robots in dynamic working regimes: find degradation in variations. Measurement. 2020.

    26. Elisa Negri, Vibhor Pandhare, LauraCattaneo, Jaskaran Singh, Marco Macchi, Jay Lee. Field-synchronized Digital Twinframework for production scheduling with uncertainty. Journal of Intelligent Manufacturing. October. 2020.

    27. Wenzhe Li, Xiaodong Jia, Xiang Li, Yinglu Wang, Jay Lee. A Markov model for short term wind speed prediction by integrating the wind acceleration information. Renewable energy. 2020. Volume 164. February 2021. Pages 242-253.

    28. Cai, Haoshu, Jianshe Feng, Feng Zhu, Qibo Yang, Xiang Li, Jay Lee. Adaptive virtual metrology method based on Just-in-time reference and particle filter for semiconductor manufacturing. Measurement. Volume 168. 15 January 2021.

    29. Shahin Siahpour, Xiang Li, Jay Lee. Deep learning-based cross-sensor domain adaptation for fault diagnosis of electro-mechanical actuators. International Journal of Dynamics and Control. 2020.

    30. Cai, Haoshu, Jianshe Feng, Wenzhe Li, Yuan-Ming Hsu, Jay Lee. Similarity-based Particle Filter for Remaining Useful Life prediction with enhanced performance. Applied Soft Computing. 2020, 94.

    31. Li, P., Jia, X., Sumiya, M., Kamaji, Y., Ishiguro, M., Pahren, L. and Lee, J., A Novel Method for Deposit Accumulation Assessment in Dry Etching Chamber, IEEE Transactions on Semiconductor Manufacturing, 32(2), pp.183-189, 2019.

    32. Cai, H., Jia, X., Feng, J., Yang, Q., Hsu, Y.M., Chen, Y. and Lee, J., A Combined Filtering Strategy for Short Term and Long-Term Wind speed Prediction with Improved Accuracy, Journal of Renewable energy, 136, pp.1082-1090, 2019.

    33. Li, F., Ren, G. and Lee, J., Multi-step Wind Speed Prediction based on Turbulence Intensity and Hybrid Deep Neural Networks, Journal of Energy Conversion and Management, 186, pp.306-322, 2019.

    34. Lee, J., Singh, J. and Azamfar, M., “Industrial AI: is it manufacturing’s guiding light?” Journal of Manufacturing Leadership 2019:26–36, 2019.

    35. Lee, J., Azamfar, M. and Singh, J., A Blockchain enabled Cyber-Physical System Architecture for Industry 4.0 Manufacturing Systems, Manufacturing Letters, 20, pp.34-39, 2019.

    36. Pan, Y., Hong, R., Chen, J., Singh, J. and Jia, X., Performance Degradation Assessment of a Wind Turbine Gearbox based on Multi-sensor Data Fusion, Mechanism and Machine Theory, 137, pp.509-526, 2019.

    37. Feng, J., Jia, X., Zhu, F., Iskandar, J, Lee, J., An Online Virtual Metrology Model with Sample Selection for Tracking of Dynamic Manufacturing Processes with Slow Drift, IEEE Transactions on Semiconductor Manufacturing, Vol. 32, No. 4, Nov. 2019.

    38. Li, F., Ren, G., Lee, J., Multi-step Wind Speed Prediction based on Turbulence Intensity and Hybrid Deep Neural Networks, Journal of Energy Conversion and Management, Vol. 185, pp.306-322, 2019.

    39. Feng, J., Jia, X., Zhu, J., Yang, Q., Y., Pan, and Lee, J., An Intelligent System for Offshore Wind Farm Maintenance Scheduling Optimization Considering Turbine Production Loss, Journal of Intelligent & Fuzzy Systems, Vol. 37, pp.6911-6923, 2019.

    40. Shi, Z., Liu, Z., & Lee, J., An Auto-associative Residual-based Approach for Railway Point System Fault Detection and Diagnosis, Measurement, 119, 246-258, 2018.

    41. Hossein Davari Ardakani, and Lee. J., "A Minimal-Sensing Framework for Monitoring Multistage Manufacturing Processes Using Product Quality Measurements," Machines 6.1, 2018.

    42. Di, Y., Jin, C., Bagheri, B., Shi, Z., Ardakani, H. D., Tang, Z., & Lee, J., Fault Prediction of Power Electronics Modules and Systems Under Complex Working Conditions, Computers in Industry, 97, 1-9, 2018.

    43. Zhao, M., Jia, X., Lin, J., Lei, Y., & Lee, J., Instantaneous Speed Jitter Detection via Encoder Signal and its Application for the Diagnosis of Planetary Gearbox, Journal of Mechanical Systems and Signal Processing, 98, 16-31, 2018.

    44. Li, Pin, Jia, X, Feng, J.S., Davari, H., Qiao, G., Hwang Y.C., Lee, J., Prognosability Study of Ball Screw Degradation Using Systematic Methodology, Journal of Mechanical Systems and Signal Processing, Feb 2018.

    45. Jia, X., Zhao, M., Di, Y., Yang, Q., & Lee, J., Assessment of Data Suitability for Machine Prognosis using Maximum Mean Discrepancy, IEEE Transactions on Industrial Electronics, 65(7), 5872-5881, 2018.

    46. Jia, X., Di, Y., Feng, J., Yang, Q., Dai, H., and Lee, J., "Adaptive Virtual Metrology for Semiconductor Chemical Mechanical Planarization Process using GMDH-type Polynomial Neural Networks," Journal of Process Control, vol. 62, pp. 44-54, 2018.

    47. Jia, X., Zhao, M., Di, Y., Li, P., and Lee, J., "Sparse Filtering with the Generalized lp/lq Norm and its Applications to the Condition monitoring of Rotating Machinery," Mechanical Systems and Signal Processing, vol. 102, pp. 198-213, 2018.

    48. Jia, X., Jin, C., Buzza, M., Di, Y., Siegel, D., and Lee, J., "A Deviation Based Assessment Methodology for Multiple Machine Health Patterns Classification and Fault Detection," Mechanical Systems and Signal Processing, vol. 99, pp. 244-261, 2018.

    49. Jia, X., Zhao, M., Di, Y., Yang, Q., and Lee, J., "Assessment of Data Suitability for Machine Prognosis Using Maximum Mean Discrepancy," IEEE Transactions on Industrial Electronics, 2018.

    50. Lee, J., Davari, H., Singh, J. and Pandhare, V., Industrial Artificial Intelligence for industry 4.0-based Manufacturing Systems, Manufacturing letters, 18, pp.20-23, 2018.

    1. Han, Xu, Xiaodong Jia, Dai-Yan Ji, and Jay Lee. "Designing Robust Topological Features for Wafer Map Pattern Classification." In 2023 34th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC), pp. 1-6. IEEE, 2023.

    2. Takanobu Minami, Alexander Suer, Pradeep Kundu, Shahin Siahpour and Jay Lee, “Novel Ensemble Domain Adaptation Methodology for Enhanced Multi-class Fault Diagnosis of Highly-Connected Fleet of Assets, International Conference on Prognostics and Health Management Asian Pacific, Tokyo, Japan, Sept. 11-14, 2023.

    3. Pahren, L., Lee, J., Data Augmentation for Quality Inspection in Product Manufacturing, submitted to IFAC AMEST 2022.

    4. Taco, J., Gore, P., Minami, T., Kundu, P., Suer, A., Lee, J., A Novel Methodology for Health Assessment in Printed Circuit Boards. PHM Society European Conference, 7(1), 566–562, 2022.

    5. Hsu, YM, Lee, J., Novel Wafer Map Image Analysis using Virtual Metrology, ASME MSEC, under review, 2022.

    6. John Taco, Brandon Foreman, Pradeep Kundu, and Jay Lee, “A Novel Technique for Data Quality Evaluation in Human Health PHM,” PHM Conference, under review, 2022.

    7. Jia, X., Li, W., Wang, W., W., Li, X., Lee, J., Development of Multivariate Failure Threshold with Quantifiable Operation Risks in Machine Prognostics, Annual Conference of the PHM Society 2020.

    8. Abhijeet Ainapure, Xiang Li, Jaskaran Singh, Qibo Yang and Jay Lee. Deep Learning-Based Cross-Machine Health Identification Method for Vacuum Pumps with Domain Adaptation. 48th SME North American Manufacturing Research Conference. June 2020.

    9. Yinglu Wang, Xiaodong Jia, Xiang Li, Shaojie Yang, Haodong Zhao and Jay Lee. A Machine Vision Based Monitoring System for the LCD Panel Cutting Wheel Degradation. 48th SME North American Manufacturing Research Conference. June 2020.

    10. Yang, Q., Singh, J., & Lee, J. Isolation-Based Feature Selection for Unsupervised Outlier Detection. Proceedings of the Annual Conference of the PHM Society. 2019, 10, 1.

    11. Xiaodong Jia, Haoshu Cai, Yuanming Hsu, Wenzhe Li, Jianshe Feng, Jay Lee. A Novel Similarity-based Method for Remaining Useful Life Prediction Using Kernel Two Sample Test. Proceedings of the Annual Conference of the PHM Society. 2019, 10, 1.

    12. Negri, E., Davari, H.,Cattaneo, L.,Singh, J., Macchi, M., Lee, J., A Digital Twin-based scheduling framework including Equipment Health Index and Genetic Algorithms. 13th IFAC Workshop on Intelligent Manufacturing Systems Oshawa, Ontario, Canada, 12-14 August 2019.

    13. Azamfar, M., Jia, X., Pandhare, V.,Davari, H.,Singh, J., Lee, J, 2019. Detection and diagnosis of bottle capping failures based on motor current. 47th SME North American Manufacturing Research Conference, NAMRC 47, Pennsylvania, USA.

    14. Pandhare, V., Singh, J. and Lee, J., 2019, May. Convolutional Neural Network Based Rolling-Element Bearing Fault Diagnosis for Naturally Occurring and Progressing Defects Using Time-Frequency Domain Features. In 2019 Prognostics and System Health Management Conference (PHM-Paris) (pp. 320-326). IEEE.

    15. X. Jia, C J. Lee, Z Zhang, P. Radecki, J Lee. A Methodology for the early diagnosis of vehicle torque converter clutch degradation. 2019 IEEE International Conference on Automation Science and Engineering. IEEE, 2019.

    16. Jianshe Feng, Methodology of adaptive prognostics and health management using streaming data in big data environment. 2019 PHM Society Doctoral Consortium, Sept 24-26, 2019, Tempe AZ, US.

    17. Jianshe Feng, Xinyu Du, Mutasim Salman, Wheel bearing fault isolation and prognosis using acoustic based approach. Annual Conference of the Prognostics and Health Management 2019, Sept 24-26, 2019, Tempe AZ, US.

    18. Jianshe Feng, Xiaodong Jia, James Moyne, Jimmy Iskandar, Heng Hao, Kommisetti Subrahmanyam, Michael Armacost, Andrei Korobkov, Jay Lee, Pattern-based trace segmentation and feature extraction for semiconductor manufacturing and application to fault detection. Advanced Process Control 30th, Oct 8-11, 2018, Austin, TX, US.

    19. Jia, X., Huang, B., Feng, J., Cai, H. and Lee, J., 2018, September. A Review of PHM Data Competitions from 2008 to 2017. In Proceedings of the Annual Conference of the PHM Society (Vol. 10, No. 1).

    1. Lee, Jay. Industrial AI: Applications with Sustainable Performance. 2020.