Paper ID: 2203.11728

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

Khouloud Abdelli, Helmut Griesser, Stephan Pachnicke

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.

Submitted: Mar 19, 2022