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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.

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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

Contact the Toshiba Corporate Research & Development Center

Please include the title “Toshiba 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

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