Dataset for Optical fiber faults

Citation Author(s):
Khouloud
Abdelli
Florian
Azendorf
ADVA
Carsten
Tropschug
ADVA
Helmut
Griesser
ADVA
Stephan
Pachnicke
Kiel University
Joo
Choo
Submitted by:
khouloud abdelli
Last updated:
Sat, 11/19/2022 - 12:08
DOI:
10.21227/pdpn-1b78
Data Format:
*.csv
Research Article Link:
Machine Learning-based Anomaly Detection in Optical Fiber Monitoring
License:
Creative Commons Attribution
3258 Views
Categories:
Artificial Intelligence
Signal Processing
Machine Learning
Reliability
Security
Communications
Keywords:
fiber faults, anomalies, optical communication systems, fiber cuts, fiber tapping, fault management
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Abstract 

The dataset includes processed sequences of optical time domain reflectometry (OTDR) traces incorporating different types of fiber faults namely fiber cut, fiber eavesdropping (fiber tapping), dirty connector and bad splice. The dataset can be used for developping ML-based approaches for optical fiber fault detection, localization, idenification, and characterization. 

Instructions: 

Each sample of the dataset "OTDR_data.csv" is composed of the signal-to-noise ratio (SNR), a 30-length normalized sequence of an OTDR trace  [P1... P30] , the type of fiber event (class), location of the event, reflectance of the event, loss of the event. 

The investigated types of optical fiber events are :  0: normal, 1: fiber tapping, 2 : bad splice, 3: bending event , 4: dirty connector, 5: fiber cut, 6: PC connector, 7:reflector 

The location of the event is modeled by the index within the sequence divided by 100. 

The reflectance and the loss values are the normalized values. 

The folder "Raw_OTDR_fault_data" includes the raw OTDR traces incoportaing different optical fault patterns obtained by varying the experimental setup (e.g. varying the bending radius, changing the attenuation of the variable optical attenuator to adjut the height of the reflector, performing different bad splice with different loss values, etc.). 

 

Comments

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Submitted by Ankush Kumar on Tue, 03/19/2024 - 15:50

Dear authors,

Can I have your dataset please?

I am requesting your dataset for educational and research purposes only. I will cite your dataset and paper if allowed.

Submitted by Thuy Tran on Wed, 08/14/2024 - 20:26

Good day Sir,

My name is Ayomide from Nigeria, I am currently in my final year and I plan on doing a project based on optimizing fiber fault detection and location using Machine Learning and I would like to ask if you could grant me access to your data sets to help with my project, thank you sir.

 

 

Submitted by Ayomide Adek on Sun, 10/27/2024 - 23:18

Dear authors,

Can I have your dataset please?

I am requesting your dataset for educational and research purposes only.

Submitted by Shivranjani Gajjar on Mon, 11/04/2024 - 10:30

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