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20182026
most citedEnd-to-End CNN+LSTM Deep Learning Approach for Bearing Fault Diagnosis

208 citations · 208 across the 5 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

eess.SP2019★ 208 cited

End-to-End CNN+LSTM Deep Learning Approach for Bearing Fault Diagnosis

Amin Khorram, Mohammad Khalooei, Mansoor Rezghi

Fault diagnostics and prognostics are important topics both in practice and research. There is an intense pressure on industrial plants to continue reducing unscheduled downtime, p…

cs.CV2019

Self-Supervised Representation Learning via Neighborhood-Relational Encoding

Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli

In this paper, we propose a novel self-supervised representation learning by taking advantage of a neighborhood-relational encoding (NRE) among the training data. Conventional unsu…