Synthesizing Rolling Bearing Fault Samples in New Conditions: A Framework Based on a Modified CGAN

@article{Ahang2022SynthesizingRB,
  title={Synthesizing Rolling Bearing Fault Samples in New Conditions: A Framework Based on a Modified CGAN},
  author={Maryam Ahang and Masoud Jalayer and Ardeshir Shojaeinasab and Oluwaseyi Ogunfowora and Todd Charter and Homayoun Najjaran},
  journal={Sensors (Basel, Switzerland)},
  year={2022},
  volume={22}
}
Bearings are vital components of rotating machines that are prone to unexpected faults. Therefore, bearing fault diagnosis and condition monitoring are essential for reducing operational costs and downtime in numerous industries. In various production conditions, bearings can be operated under a range of loads and speeds, which causes different vibration patterns associated with each fault type. Normal data are ample as systems usually work in desired conditions. On the other hand, fault data… 

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