Three-Phase Inverter Faults Diagnosis Using Unsupervised Sparse Auto-Encoder Fahim, SR, Sarker, SK, Das, SK, Islam, MR, Kouzani, Abbas and Mahmud, M A Parvez 2020, Three-Phase Inverter Faults Diagnosis Using Unsupervised Sparse Auto-Encoder, in 2020 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2020, IEEE,, doi: 10.1109/ASEMD49065.2020.9276267. Attached Files Name Description MIMEType Size Downloads Title Three-Phase Inverter Faults Diagnosis Using Unsupervised Sparse Auto-Encoder Author(s) Fahim, SR Sarker, SK Das, SK Islam, MR Kouzani, Abbas orcid.org/0000-0002-6292-1214 Mahmud, M A Parvez orcid.org/0000-0002-1905-6800 Conference name ASEMD Conference location Tianjin, China Conference dates 2020/10/16 - 2020/10/18 Title of proceedings 2020 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2020 Publication date 2020 Total pages 2 Publisher IEEE Summary © 2020 IEEE. Fault detection and classification is vital for ensuring the safety of power electronic converters employed in the power electronic device. In order to prevent the propagation of faults to the other electronic components, the accurate detection and classification of faults is a must considerable thing. Although modern fault detection methods can perform this task accurately, their accuracy limits to a number of a specific type of fault. Considering the unpredictable nature of the faults, this paper applies a sparse auto-encoder (SAE) to detect and classify the faults. In contrary to the conventional methods, this proposed method can extract the features automatically from the image representation of the signals which increases the generalizability of the proposed method. The results show in this paper confirms the reliability of the methods in performance. ISBN 9781728152158 DOI 10.1109/ASEMD49065.2020.9276267 Indigenous content off HERDC Research category E2 Full written paper - non-refereed / Abstract reviewed Persistent URL http://hdl.handle.net/10536/DRO/DU:30147452 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Engineering Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 21 Jan 2021, 14:02:20 EST Fri, 22 Jan 2021, 04:02:29 EST Fri, 22 Jan 2021, 05:06:19 EST Sun, 07 Nov 2021, 12:35:33 EST Sun, 07 Nov 2021, 13:24:26 EST Sun, 07 Nov 2021, 13:35:28 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 14 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 21 Jan 2021, 14:02:20 EST