Synthetic tunable edge-emitting laser reliability dataset

Citation Author(s):
Khouloud
Abdelli
Helmut
Griesser
ADVA
Stephan
Pachnicke
Kiel university
Submitted by:
khouloud abdelli
Last updated:
Mon, 11/14/2022 - 10:10
DOI:
10.21227/k5n4-q340
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Abstract 

A synthetic laser reliability dataset generated using generative  adversarial networks (GANs) is provided. The data includes normalized current measurements estimated at the following times: 2, 20, 40, 60, 80, 100, 150, 500, 1000, and 1500 hours. The data can be used to train machine learning models to solve different predictive maintenance tasks such as prediction of performance degradation, remainng useful prediction, and so on. 

Instructions: 

The data includes the values of normalized current taken at several times 2, 20, 40, 60, 80, 100, 150, 500, 1000, and 1500 hours.