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Paper detail

Machine Learning based Data Driven Diagnostic and Prognostic Approach for Laser Reliability Enhancement

In this paper, a data-driven diagnostic and prognostic approach based on machine learning is proposed to detect laser failure modes and to predict the remaining useful life (RUL) of a laser during its operation. We present an architecture of the proposed cognitive predictive maintenance framework and demonstrate its effectiveness using synthetic data.

preprint2022arXivOpen access
Khouloud AbdelliHelmut GriesserStephan Pachnicke
eess.SPMachine Learning
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Khouloud AbdelliHelmut GriesserStephan Pachnicke

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