Cell Fault Management Using Machine Learning Techniques
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DOI: 10.1109/access.2019.2938410
Abstract: This paper surveys the literature relating to the application of machine learning to fault management in cellular networks from an operational perspective. We summarise the main issues as 5G networks evolve, and their implications for… read more here.
Keywords: learning techniques; machine learning; fault management; management ... See more keywords
Fault Management Techniques to Enhance the Reliability of Power Electronic Converters: An Overview
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DOI: 10.1109/access.2023.3242918
Abstract: The reliability of power electronic converters is a major concern in industrial applications because of using prone-to-failure elements such as high-power semiconductor devices and electronic capacitors. Hence, designing fault-tolerant inverters has been of great interest… read more here.
Keywords: reliability power; electronic converters; power; fault management ... See more keywords
An Open Approach to Autonomous Ran Fault Management
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DOI: 10.1109/mwc.004.2200244
Abstract: In this article, we propose a multi-stage AI-based framework called “open Fault Management” or “openFM,” for end-to-end autonomous fault management of the open radio access network (open RAN) that is also applicable to 5G and… read more here.
Keywords: percent; open ran; management open; fault management ... See more keywords
Learning Long- and Short-Term Temporal Patterns for ML-Driven Fault Management in Optical Communication Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2022.3146869
Abstract: The deployment of 5G and network slicing has challenged the current network management requirements, triggering the need for programmable and software-driven architectures. Thus, automated real-time fault management for self-managed networks with machine learning and artificial… read more here.
Keywords: network; management; fault management; long short ... See more keywords