Covert fault detection with imbalanced data using an improved autoencoder for optical networks

Covert faults are characterized by the performance parameters falling within the normal range, without any observable abnormalities. These types of faults pose a significant risk as they present no apparent warning signs of potential danger. Therefore, it is crucial to establish an efficient covert...

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Veröffentlicht in:	Journal of optical communications and networking Jg. 15; H. 11; S. 913 - 924
Hauptverfasser:	Zhang, Chunyu, Zhang, Min, Liu, Songlin, Liu, Zhuo, Wang, Danshi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway Optica Publishing Group 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Abnormalities Adaptive optics Data analysis Data models Decoding Error detection Fault detection Faults Machine learning Monitoring Optical communication Optical fiber networks Principal components analysis Reconstruction Training
ISSN:	1943-0620, 1943-0639
Online-Zugang:	Volltext
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