Toshiba AI Technology Catalog

  • Anomaly detection

Anomaly detection technology for plants: “2-stage auto encoder”

Detects anomaly signs earlier than human detection, by finding unnoticeable changes in complex, large-scale plants


  • Detects anomalies from a large amount of monitoring sensor signals at power plants.
  • Detects anomalies of power plants, even in changing conditions where sensor signals accodingly changes with the conditions.

Applications



  • Power plants
  • Water treatment plants

Benchmarks, strengths, and track record



  • Achieved an F1 score of 0.777 in a public data set of water treatment plants (WADI) (0.695 with conventional technologies)
    *WADI: Water Distribution; sensor signal data from a scaled-down testbed of a water treatment plant. Anomalies are caused based on 15 scenarios to 122 sensors.
    *F1 score: A metric of a model’s accuracy, indicating performance of both how many of true anomalies the model discovers and how precisely the model detects anomalies.
  • Currently conducting experimental operation of anomaly detection service at the Mikawa Power Plant operated by SIGMA POWER Ariake Corporation, a subsidiary of Toshiba Energy Systems & Solutions Corporation