This inventor holds 2 USPTO granted patents and 4 published patent applications. Top assignee: Komatsu Industries Corporation. Active years: 2024-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2025
Title: Eiji Doba: Innovator in Predictive Maintenance Technology
Introduction
Eiji Doba is a notable inventor based in Ishikawa, Japan. He has made significant contributions to the field of predictive maintenance for industrial machines. With a total of 2 patents to his name, Doba's work focuses on enhancing the efficiency and reliability of industrial operations.
Latest Patents
Doba's latest patents include a predictive maintenance device, method, and system for industrial machines. This innovative device incorporates a determination model trained by machine learning to assess the likelihood of abnormalities in various components of a drive system. By analyzing state data, the device identifies which components require maintenance, thereby preventing potential failures. Another significant patent is a server, method, and system for providing maintenance management services for industrial machines to client computers. This system displays information about multiple industrial machines, determines their remaining lives based on state data, and generates a machine list screen for easy monitoring.
Career Highlights
Eiji Doba is currently employed at Komatsu Industries Corporation, where he applies his expertise in predictive maintenance technologies. His work has been instrumental in advancing the capabilities of industrial machinery, ensuring that they operate efficiently and with minimal downtime.
Collaborations
Doba collaborates with talented colleagues such as Kouji Funabashi and Yusuke Masato. Together, they contribute to the development of innovative solutions that enhance industrial machine performance.
Conclusion
Eiji Doba's contributions to predictive maintenance technology reflect his commitment to innovation in the industrial sector. His patents demonstrate a forward-thinking approach that addresses the challenges faced by modern machinery.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile