Making the invisible visible: Non-intrusive scalable digitalisation using existing control signals in legacy medical device manufacturing equipment

2026-04-17

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Frank Doyle *

Andreas Ott

Sumana Biswas

John Cosgrove

André Martins

Zsolt Kovács

DOI：10.1016/j.jmsy.2026.04.026

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Abstract

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• Digitalisation in a brownfield legacy regulated environment in a non-intrusive manner • Innovative encoding of machine signal cables for data capture • Real-time machine identification, usage, status, location and integration with ERP • Data aggregation and statistical data analysis facilitate generation of OEE metrics • Data-driven machine learning algorithms allows predictive maintenance

Keywords:

Digitalisation

Machine Learning

Predictive Maintenance

OEE Metrics

Non-intrusive Sensing

Making the invisible visible: Non-intrusive scalable digitalisation using existing control signals in legacy medical device manufacturing equipment

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