An analytics platform was developed that analyzes the operation information of mechanical systems collected using the IoT and utilizes the results in reliability design, operation, and maintenance. The product use environment, applied load, and structural reliability are clarified from the operation information and used to advance reliability design. If the failure risk obtained by multiplying the failure probability by the cost of failure is used as an indicator of reliability, then reliability can be compared in units of cost, which makes it possible to increase the reliability of entire mechanical systems throughout the entire product lifecycle from design to operations and maintenance. To demonstrate the impact of this research, operation of an analytics platform was started that collects operation information from a wind power generation system online using the IoT and analyzes the failure risk. Reliability is expected to improve continuously through the developed analytics platform.
Advanced Simulation Research Department, Center for Technology Innovation - Mechanical Engineering, Research & Development Group, Hitachi, Ltd. He is currently engaged in the development of reliability evaluation technologies for mechanical systems.Dr. Kita is a member of the JSME.
Computing Research Department, Center for Technology Innovation - Information and Telecommunications, Research & Development Group, Hitachi, Ltd. He is currently engaged in the development of analytics platform using time series data store technologies.
Smart Systems Research Department, Center for Technology Innovation - Controls, Research & Development Group, Hitachi, Ltd. He is currently engaged in the development of artificial intelligence,anomaly detection systems, and predictive maintenance systems. Mr. Suzuki is a member of the Japanese Society for Artificial Intelligence (JSAI).
