Items where Author is "De Silva, Clarence W."

Journal Article

Zhu, Jun and Wang, Yuanfan and Xia, Min and Williams, Darren and De Silva, Clarence W. (2023) A new multisensor partial domain adaptation method for machinery fault diagnosis under different working conditions. IEEE Transactions on Instrumentation and Measurement, 72. ISSN 0018-9456

An, Kang and Lu, Jingfeng and Zhu, Quanjing and Wang, Xiaoxian and De Silva, Clarence W. and Xia, Min and Lu, Siliang (2023) Edge Solution for Real-time Motor Fault Diagnosis Based on Efficient Convolutional Neural Network. IEEE Transactions on Instrumentation and Measurement, 72: 3516912. pp. 1-12. ISSN 0018-9456

Xia, Min and Li, Teng and Shu, Tongxin and Wan, Jiafu and De Silva, Clarence W. and Wang, Zhongren (2019) A Two-Stage Approach for the Remaining Useful Life Prediction of Bearings Using Deep Neural Networks. IEEE Transactions on Industrial Informatics, 15 (6): 8454498. pp. 3703-3711. ISSN 1551-3203

Xia, Min and Li, Teng and Xu, Lin and Liu, Lizhi and De Silva, Clarence W. (2018) Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks. IEEE/ASME Transactions on Mechatronics, 23 (1). pp. 101-110. ISSN 1083-4435

Xia, Min and Li, Teng and Zhang, Yunfei and De Silva, Clarence W. (2016) Closed-loop design evolution of engineering system using condition monitoring through internet of things and cloud computing. Computer Networks, 101. pp. 5-18. ISSN 1389-1286

Contribution in Book/Report/Proceedings

Xia, Min and Li, Teng and Liu, Lizhi and Xu, Lin and Gao, Shujun and De Silva, Clarence W. (2017) Remaining useful life prediction of rotating machinery using hierarchical deep neural network. In: 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 :. 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 . Institute of Electrical and Electronics Engineers Inc., CAN, pp. 2778-2783. ISBN 9781538616451

Xia, Min and De Silva, Clarence W. (2014) A framework of design weakness detection through machine health monitoring for the evolutionary design optimization of multi-domain systems. In: Proceedings of the 9th International Conference on Computer Science and Education, ICCCSE 2014 :. Proceedings of the 9th International Conference on Computer Science and Education, ICCCSE 2014 . Institute of Electrical and Electronics Engineers Inc., CAN, pp. 205-210. ISBN 9781479929511