A Novel Event Detection Method for OTDR Trace with High Sensitivity Based on Machine Learning

Yang, Ziqiang; Hong, Dengli; Feng, Xiaobing; Xie, Junyi

doi:10.1109/ictc51749.2021.9441614

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

2023

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Te optical time-domain refectometer (OTDR) is the most common way for quality evaluation and fault location of optical fbers [8]. At present, the commonly used data center fault monitoring scheme is to adopt optical switch polling and optical power monitoring.…”

Section: Introductionmentioning

confidence: 99%

AI-Assisted Failure Location Platform for Optical Network

Liu¹,

Ji²,

Liu³

et al. 2023

International Journal of Optics

View full text Add to dashboard Cite

In the paper, we applied the customized AI module to the OTDR device and, combined with the optical power monitoring module, realized the AI-assisted optical network fault location mechanism for the high-density interconnection scenario of data centers. The mechanism can make full use of the data from optical links. Based on the link data, the AI module can predict the links that may fail, and then the target links will be monitored by the optical power module. The mechanism can quickly locate and respond to faulty links. Through the test, the introduction of an AI model can improve the average fault detection efficiency of the link by 98.41%.

show abstract

Section: Introductionmentioning

confidence: 99%