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When the conference series started, we were reluctant to edit proceedings, thinking that this would be a very hard job; eventually, we discovered the possibility offered by IOP to publish proceedings online in IOP Conference Series. A multi-task deep learning model for rolling element-bearing diagnostics Ahmed Zakariae Hinchi. A study on the use of discrete event data for prognostics and health management: discovery of association rules Bin Liu.

Analysis and comparison of multiple features for fault detection and prognostic in ball bearings Khanh T. McArthur, Prof. CNC spindle signal investigation for the prediction of cutting tool health Jacob L. Hill, Paul W.

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Prickett, Roger I. Comparison of Stochastic capacity estimation tools applied on remaining useful life prognosis of Lithium ion batteries Mikel Arrinda. Effects of operating condition variations on vibration-based bearing condition monitoring features: Experimental investigation Agusmian Partogi Ompusunggu, steven Devos.

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