All Outputs (2)

Bearing fault diagnosis under variable rotational speeds using Stockwell transform-based vibration imaging and transfer learning. (2018)
Journal Article
HASAN, M.J. and KIM, J.-M. 2018. Bearing fault diagnosis under variable rotational speeds using Stockwell transform-based vibration imaging and transfer learning. Applied sciences [online], 8(12): fault detection and diagnosis in mechatronics systems, article 2357. Available from: https://doi.org/10.3390/app8122357

In this paper, discrete orthonormal Stockwell transform (DOST)-based vibration imaging is proposed as a preprocessing step for supporting load and rotational speed invariant scenarios for signals of various health conditions. For any health condition... Read More about Bearing fault diagnosis under variable rotational speeds using Stockwell transform-based vibration imaging and transfer learning..

1D CNN-based transfer learning model for bearing fault diagnosis under variable working conditions. (2018)
Presentation / Conference Contribution
HASAN, M.J., SOHAIB, M. and KIM, J.-M. 2019. 1D CNN-based transfer learning model for bearing fault diagnosis under variable working conditions. In Omar, S., Haji Suhaili, W.S. and Phon-Amnuaisuk, S. (eds.) Computational intelligence in information systems: proceedings of the 2018 Computational intelligence in information systems conference (CIIS 2018), 16-18 November 2018, Brunei. Advances in intelligent systems and computing, 888. Cham: Springer [online], pages 13-23. Available from: https://doi.org/10.1007/978-3-030-03302-6_2

Classical machine learning approaches have made remarkable contributions to the field of data-driven techniques for bearing fault diagnosis. However, these algorithms mainly depend on distinct features, making the application of such techniques tedio... Read More about 1D CNN-based transfer learning model for bearing fault diagnosis under variable working conditions..