activity
20222026
most citedDeep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions

49 citations · 110 across the 10 of their papers we have counts for

collaborators
Showing 2022Show all

1 paper · 1 filter

cs.LG2022★ 30 cited

Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN

Maryam Ahang, Masoud Jalayer, Ardeshir Shojaeinasab +3

Bearings are one of the vital components of rotating machines that are prone to unexpected faults. Therefore, bearing fault diagnosis and condition monitoring is essential for redu…