Adaptation of a Real-Time Deep Learning Approach With an Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles-Reference-Cited by-同舟云学术

Adaptation of a Real-Time Deep Learning Approach With an Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles

Published:2022 Issue: Volume:10 Page:132271-132287
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Rezaei Mohammad A.¹^ORCID,Fathollahi Arman²^ORCID,Rezaei Sajad³,Hu Jiefeng⁴^ORCID,Gheisarnejad Meysam²,Teimouri Ali Reza⁵^ORCID,Rituraj Rituraj⁶,Mosavi Amir H.⁵^ORCID,Khooban Mohammad-Hassan²^ORCID

Affiliation:

1. Fricke and Mallah Microwave Technology GmbH, Peine, Lower Saxony, Germany

2. Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark

3. Department of Computer Science, Tabriz University, Tabriz, Iran

4. Centre for New Energy Transition Research, Australian Institute of Information Engineering, Federation University Australia, Ballarat, VIC, Australia

5. Faculty of Civil Engineering, Technische Universität Dresden, Dresden, Germany

6. Doctoral School of Applied Informatics and Applied Mathematics, Obuda University, Budapest, Hungary

Funder

European Union Horizon 2020 Research and Innovation Programme under the Programme SASPRO 2 COFUND Marie Sklodowska-Curie

The Lower Saxony Ministry of Science and Culture

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09982604.pdf?arnumber=9982604

Reference65 articles.

1. Long Short-Term Memory

2. On-Line Fault Diagnosis of DC-Link Electrolytic Capacitors in Boost Converters Using the STFT Technique

3. A New Hybrid Cascaded Switched-Capacitor Reduced Switch Multilevel Inverter for Renewable Sources and Domestic Loads

4. Fault Diagnosis of Capacitance Aging in DC Link Capacitors of Voltage Source Inverters Using Evidence Reasoning Rule

5. Real-Time Identification of Power Fluctuations Based on LSTM Recurrent Neural Network: A Case Study on Singapore Power System

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