This inventor holds 6 USPTO granted patents and 4 published patent applications. Top assignee: Komatsu Industries Corporation. Active years: 2020-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020-2025
Title: Yusuke Masato: Innovator in Predictive Maintenance Technology
Introduction
Yusuke Masato is a prominent inventor based in Kanazawa, Japan. He has made significant contributions to the field of predictive maintenance technology, holding a total of 6 patents. His work focuses on enhancing the efficiency and reliability of industrial machines through innovative solutions.
Latest Patents
Masato's latest patents include a predictive maintenance device, method, and system for industrial machines. This device utilizes a determination model trained by machine learning to assess the possibility of abnormalities in various components of a drive system. By analyzing state data, the device can identify which components require maintenance, thereby preventing potential failures. Another notable 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 and determines their remaining lives based on state data, facilitating better maintenance planning.
Career Highlights
Yusuke Masato is currently employed at Komatsu Industries Corporation, where he continues to develop innovative solutions for industrial applications. His expertise in predictive maintenance has positioned him as a key player in the advancement of industrial technology.
Collaborations
Masato collaborates with talented colleagues such as Kouji Funabashi and Taketoshi Fukumura. Together, they work on projects that aim to improve the functionality and reliability of industrial machinery.
Conclusion
Yusuke Masato's contributions to predictive maintenance technology demonstrate his commitment to innovation in the industrial sector. His patents reflect a deep understanding of machine learning and its applications in enhancing operational efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile