Data and machine learning is the future of predictive maintenance. We believe that innovation is the key to providing best-in-class value and service. Eastway have a dedicated innovation team, working alongside leading ML researchers to realise the ever-growing data opportunity for our global partners.

Condition Monitoring In The Age Of Industry 4.0

In this whitepaper we take a closer look at the connection between Industry 4.0 and condition monitoring. We examine how condition monitoring has come to replace, or complement, traditional maintenance methods such as breakdown maintenance or time-based preventative maintenance. We also take a deep dive into the many advantages condition monitoring holds and why so many organisations are turning to it.

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Neural Network Detection of Machine Faults

We introduce an approach to detect machine faults using vibration sensor data. Convolutional neural network supervised learning models, trained on Eastway collected and labelled data, demonstrate high levels of performance. The modelling approach is flexible to incorporate further data sources such as machine ambient data, however vibration data may be sufficient given the preliminary results presented here. Furthermore, the approach is adaptable to fault classification upon training with appropriately labelled data.

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For further information view our webinar on this topic: Machine Learning and Vibration Analysis with Kevin Berkery


Eastway Europe
Mary Rosse Centre 3,
Holland Rd, Castletroy,
Co. Limerick,
V94 HRK2,

t: +353 61 203933
e: europe@eastwaytech.com


Eastway USA
1300 Clay Street,
Suite 600,

CA 94612,

t: +1 510 210 0044
e: usa@eastwaytech.com


Eastway Singapore
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Seletar Aerospace Park,

Singapore 797546

t: +65 9232 1203

e: asia@eastwaytech.com