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Number of items: 5.

Hejazi, Shahd 2024. Improving Induction Motor fault classification accuracy through enhanced multimodal preprocessing, artificial image synthesis, deep learning and load-adaptive graph-based methods. PhD Thesis, Cardiff University.
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Hejazi, Shahd, Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206 and Liu, Y 2024. Using DCGAN and WGAN-GP to generate artificial thermal RGB images for induction motors. Presented at: Cardiff University Engineering Research Conference 2023, Cardiff, UK, 12-14 July 2023. Published in: Spezi, Emiliano and Bray, Michaela eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press, pp. 113-117. 10.18573/conf1.aa
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Hejazi, Shahd Ziad, Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206 and Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 2024. A novel customised load adaptive framework for induction motor fault classification utilising MFPT bearing dataset. Machines 12 (1) , 44. 10.3390/machines12010044
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Hejazi, Shahd, Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206 and Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 2023. A Novel approach using WGAN-GP and conditional WGAN-GP for generating artificial thermal images of induction motor faults. Presented at: 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2023), 06-08 September 2023. Procedia Computer Science. , vol.225 Elsevier, pp. 3681-3691. 10.1016/j.procs.2023.10.363
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Hejazi, Shahd, Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206 and Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 2022. Novel preprocessing of multimodal condition monitoring data for classifying induction motor faults using deep learning methods. Presented at: IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), Gunupur, Odisha, India, 15-17 December 2022. Proceedings of 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security. IEEE, pp. 1-6. 10.1109/iSSSC56467.2022.10051321

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