Browsing NORCE Energi og teknologi by Author "Waag, Tor Inge"
Now showing items 1-4 of 4
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Condition Monitoring System for Internal Blowout Prevention (IBOP) in Top Drive Assembly System using Discrete Event Systems and Deep Learning Approaches
Noori, Nadia Saad; Waag, Tor Inge; Bianchi, Filippo Maria (Lecture, 2020) -
Fault Classification of Axial and Radial Roller Bearings Using Transfer Learning through a Pretrained Convolutional Neural Network
Hemmer, Martin; Huynh, Khang; Robbersmyr, Kjell Gunnar; Waag, Tor Inge; Meyer, Thomas (Peer reviewed; Journal article, 2018)Detecting bearing faults is very important in preventing non-scheduled shutdowns, catastrophic failures, and production losses. Localized faults on bearings are normally detected based on characteristic frequencies associated ... -
Health Indicator for Low-speed Axial Bearings using Variational Autoencoders
Hemmer, Martin; Klausen, Andreas; Huynh, Khang; Robbersmyr, Kjell Gunnar; Waag, Tor Inge (Peer reviewed; Journal article, 2020)This paper proposes a method for calculating a health indicator (HI) for low-speed axial rolling element bearing (REB) health assessment by utilizing the latent representation obtained by variational inference using ... -
Simulation-driven Deep Classification of Bearing Faults from Raw Vibration Data
Hemmer, Martin; Klausen, Andreas; Huynh, Khang; Robbersmyr, Kjell Gunnar; Waag, Tor Inge (Peer reviewed; Journal article, 2019)The industry is moving towards maintenance strategies that consider component health, which require extensive collection and analysis of data. Condition monitoring methods that require manual feature extraction and analysis, ...