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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.

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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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