Toshiba AI Technology Catalog

  • Anomaly detection

Time series abnormal waveform detection technology*

Detect anomalies, learning only from normal time series data.

  • Jointly learn anomaly detection models and unique waveform fragments constituting time series data.
  • Currently being applied in infrastructure equipment, such as elevators and switchgears at transformer substations.
  • One-Class Learning Time-series Shapelets (OCLTS)


  • Detect anomalies in transformer substation switchgears.
  • Detect anomalies using elevator brake signals.
  • Can also be applied in detecting anomalies using operational data from various infrastructure equipment.

Benchmarks, strengths, and track record

  • World’s first anomaly detection technology that learns waveform fragments using only normal time series data
  • In performance verification using benchmark data, confirmed a 9% increase in accuracy compared to conventional technologies.


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Please note that because this technology is currently the subject of R&D activities, immediate responses to inquiries may not be possible.