Toshiba AI Technology Catalog

  • Anomaly detection
  • Numerical analysis
  • Scheduling

Infrastructure maintenance data analysis

Supports optimum maintenance and management of facilities.


  • Achieves the best possible maintenance operations by combining data analysis, simulations, and optimization.
  • Used in the maintenance and management of elevators and solar power generation systems.

Applications



  • Rolling stock remote monitoring and maintenance systems
  • Can be applied in maintenance systems with accumulated historical maintenance data
  • Supports reliability-centered maintenance (RCM)

Benchmarks, strengths, and track record



  • 2017 Electronic/Information/Systems Division, Honorable mention: Institute of Electrical Engineers of Japan Electronic/Information/Systems Division; Mari Nagasaka
  • Research results used in maintenance and management operations at Toshiba Elevator and Building Systems Corporation

Inquiries



Please include the title “AI Technology Catalog: Infrastructure maintenance data analysis” or the URL in the inquiry text.
 Please note that because this technology is currently the subject of R&D activities, immediate responses to inquiries may not be possible.

References:

  • Sato et.al.; “Elevator parts life analysis technology using data mining”, Toshiba Review; Vol. 69, No. 7, 2014.
  • Nagasaka et.al.; “Data analysis system using machine learning and ontology to optimize the maintenance of various facilities”, Institute of Electrical Engineers of Japan C Division Conference, 2017