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arXiv · 1802.08338

Application of Multivariate Data Analysis to machine power measurements as a means of tool life Predictive Maintenance for reducing product waste

Darren A Whitaker·David Egan·Eoin OBrien·David Kinnear
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Abstract

Modern manufacturing industries are increasingly looking to predictive analytics to gain decision making information from process data. This is driven by high levels of competition and a need to reduce operating costs. The presented work takes data in the form of a power measurement recorded during a medical device manufacturing process and uses multivariate data analysis (MVDA) to extract information leading to the proposal of a predictive maintenance scheduling algorithm. The proposed MVDA model was able to predict with 100 % accuracy the condition of a grinding tool.

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Darren A Whitaker, David Egan, Eoin OBrien, David Kinnear. 2018-02-22. Application of Multivariate Data Analysis to machine power measurements as a means of tool life Predictive Maintenance for reducing product waste. https://arxiv.org/abs/1802.08338

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