Senanayaka, A., Tian, W., Falls, T. C., & Bian, L. (2023). Understanding the Effects of Process Conditions on Thermal-Defect Relationship: A Transfer Machine Learning Approach. Journal of Manufacturing Science and Engineering. American Society of Mechanical Engineers. 145(7), 071010. DOI:https://doi.org/10.1115/1.4057052. [Document Site]

Mun, S., Hwang, J., Bian, L., Falls, T. C., & Bond, W. G. (2023). Ensemble Learning for Fault Condition Prediction and Health Status Monitoring in Military Ground Vehicles. IISE Annual Conference & Expo 2023. New Orleans, LA. [Abstract] [Document] [Document Site]

Mamun, A. A., Bappy, M. M., Senanayaka, A., Li, J., Jiang, Z., Tian, Z., Fuller, S., Falls, T. C., Bian, L., & Tian, W. (2023). Multi-channel Sensor Fusion for Real-time Bearing Fault Diagnosis by Frequency-domain Multilinear Principal Component Analysis. The International Journal of Advanced Manufacturing Technology. Springer London. 124(3), 1321-1334. DOI:https://doi.org/10.1007/s00170-022-10525-4.

Senanayaka, A., Mamun, A. A., Bond, G., Tian, W., Wang, H., Fuller, S., Falls, T. C., Rahimi, S., & Bian, L. (2022). Similarity-based Multi-source Transfer Learning Approach for Time Series Classification. International Journal of Prognostics and Health Management. 13(2), 1-25. DOI:https://doi.org/10.36001/ijphm.2022.v13i2.3267. [Document Site]

Seifi, S. H., Tian, W., Doude, H., Tschopp, M. A., & Bian, L. (2019). Layer-Wise Modeling and Anomaly Detection for Laser-Based Additive Manufacturing. Journal of Manufacturing Science and Engineering. ASME. 141(8), 12. [Document Site]