Senanayaka, A., Lee, P.,
Lee, N, Dickerson, C., Netchaev, A., &
Mun, S. (2024). Enhancing the Accuracy of Machinery Fault Diagnosis through Fault Source Isolation of Complex Mixture of Industrial Sound Signals.
The International Journal of Advanced Manufacturing Technology. Springer London.
133, 5627-5642.
DOI:https://doi.org/10.1007/s00170-024-14080-y. [
Document Site]
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]
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]