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
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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.).