Toshiba AI Technology Catalog

  • Anomaly detection
  • Sensor data recognition

Deep learning denoising

Detect faint signals buried in noise.


  • Takes into account loss function specially designed to detect week signals.
  • Picks up on signs of degradation from faint partial discharges arising in power sources and other facilities.

Applications



  • Degradation diagnosis for equipments and facilities

Benchmarks, strengths, and track record



  • Estimate partial discharge type with 80% accuracy, even in the case of sensor signals that contain noise with amplitude of 10x the partial discharge pulse (Institute of Electrical Engineers of Japan National Conference 2019)

Inquiries



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