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Indivarie Ubhayaratne
Title
Cited by
Cited by
Year
Audio signal analysis for tool wear monitoring in sheet metal stamping
I Ubhayaratne, MP Pereira, Y Xiang, BF Rolfe
Mechanical Systems and Signal Processing 85, 809-826, 2017
652017
Blind extraction of cyclostationary signal from convolutional mixtures
Y Xiang, I Ubhayaratne, Z Yang, B Rolfe, D Peng
2014 9th IEEE Conference on Industrial Electronics and Applications, 857-861, 2014
192014
Second-order cyclostationary statistics-based blind source extraction from convolutional mixtures
Y Xiang, D Peng, I Ubhayaratne, B Rolfe, M Pereira
IEEE access 5, 2011-2019, 2017
182017
An Audio Signal Based Model for Condition Monitoring of Sheet Metal Stamping Process
I Ubhayaratne, Y Xiang, M Pereira, B Rolfe
182015
Audio-based signal extraction techniques for stamping tool condition monitoring
K Ubhayaratne
Deakin University, 2017
32017
An overview of recent progresses in monitoring and understanding localized corrosion on buried steel pipelines
MYJ Tan, F Varela, Y Huo, K Wang, I Ubhayaratne
NACE CORROSION, NACE-2020-15025, 2020
22020
Predictive maintenance based on smart monitoring and data analytics
MY Tan, KNI Ubhayaratne, Y Huo, B Varela, Y Xiang
Deakin University, 2019
22019
Developing smart multi-sensor monitoring for tool wear in stamping process
VV Shanbhag, MP Pereira, B Voss, I Ubhayaratne, BF Rolfe
IOP Conference Series: Materials Science and Engineering 651 (1), 012085, 2019
12019
Corrosion control technology needs for future fuel infrastructure
MY Tan, Y Huo, B Varela, KNI Ubhayaratne, Y Xiang
Deakin University, 2023
2023
Extending light-weighting and mass-production of ultra high strength steels via condition-based maintenance
M Pereira, KN Ubhayaratne, B Voss, S Simon, M Doolan, Y Xiang
SAE Technical Paper, 2015
2015
Second-Order Cyclostationary Statistics-Based Blind Source Extraction From Convolutional Mixtures
I UBHAYARATNE, B ROLFE, M PEREIRA
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Articles 1–11