Industry 4.0-Based Framework for Real-Time Prediction of Output Power of Multi-Emitter Laser Modules during the Assembly Process

Industry 4.0-Based Framework for Real-Time Prediction of Output Power of Multi-Emitter Laser Modules during the Assembly Process

The challenges of defects in manufacturing and assembly processes in optoelectronic industry continue to persist. Defective products cause increased time to completion (cycle time), energy consumption, cost, and loss of precious material. A complex laser assembly process is studied with the aim of m...

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Bibliographic Details
Main Authors: Nikolaos Grigorios Markatos, Alireza Mousavi, Giulia Pippione, Roberto Paoletti
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Electronics
Subjects:
quality prediction
artificial neural network (ANN)
XGBoost
random forest regression (RFR)
multi-emitter laser
assembly
Online Access:https://www.mdpi.com/2079-9292/12/3/766

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https://www.mdpi.com/2079-9292/12/3/766

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