Advanced Edge Computing Framework for Grid Power Quality Monitoring of Industrial Motor Drive Applications

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Samenvatting

In large-scale industrial machine applications (IMAs) during condition monitoring, all sensor devices can produce raw data up to 15TB of data/week. Transmitting these large high-frequency data sets to the cloud to closely monitor the operational environment and make decisions is not feasible for two reasons: (a) bandwidth and latency issues and (b) higher cost of data transfer and storage. Condition monitoring applications usually extract critical features from raw high frequency sensor signals and discard raw data to mitigate this issue. The computation is carried out on an edge device near to the application hardware and the role of the cloud/remote server is limited to receiving fault types, features, and monitoring. Therefore, this paper proposes an intelligent data capturing methodology with an edge-cloud framework for grid power quality monitoring of the IMAs that only triggers and transmits datasets to the cloud if the raw datasets contain any grid events and/or grid side anomalies. Using dSPACE, grid emulation is carried out virtually. Feature extraction using Short Term Fourier Transform (STFT) is done in the edge device and grid events are detected based on features. The proposed methodology is configured to send raw grid voltage data and features in the Microsoft Azure-based cloud that contain at least one abnormal grid event. Thus, the proposed approach of this paper limits the space requirement in the cloud by 95%, saves data transmission costs, and enables the cloud to run predictive maintenance algorithms.

Originele taal-2English
Titel2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022
UitgeverijInstitute of Electrical and Electronics Engineers Inc.
Pagina's455-459
Aantal pagina's5
ISBN van elektronische versie9781665484596
DOI's
StatusPublished - 2022
Evenement2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022 - Sorrento, Italy
Duur: 22 jun 202224 jun 2022

Publicatie series

Naam2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022

Conference

Conference2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022
Land/RegioItaly
StadSorrento
Periode22/06/2224/06/22

Bibliografische nota

Funding Information:
This research is part of the INCADD ICON project funded and supported by Flanders Make, the strategic research center for the manufacturing industry. We acknowledge Flanders Make for the support to our research group.

Publisher Copyright:
© 2022 IEEE.

Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.

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