This inventor holds 1 USPTO granted patent. Top assignee: Fanuc Corporation. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Kouya Okudera: Innovator in Machining Defect Prediction
Introduction
Kouya Okudera is a notable inventor based in Yamanashi, Japan. He has made significant contributions to the field of machining technology, particularly in the prediction of defects in machine tools. His innovative approach has led to the development of a system that enhances the efficiency and accuracy of machining operations.
Latest Patents
Kouya Okudera holds a patent for a "Machining defect occurrence prediction system for machine tool." This system is designed to identify the factors causing defects in machining operations efficiently and effectively. It predicts the occurrence of defects with high precision. The system includes an information data accumulation unit that gathers various types of information and data related to machining operations. Additionally, it features a defective product occurrence information data extraction unit that extracts relevant data when defects are produced. The defect occurrence prediction unit then utilizes this information to perform accurate predictions in real time.
Career Highlights
Kouya Okudera is currently employed at Fanuc Corporation, a leading company in automation and robotics. His work at Fanuc has allowed him to apply his innovative ideas in a practical setting, contributing to advancements in machine tool technology. His dedication to improving machining processes has made him a valuable asset to the company.
Collaborations
Kouya has collaborated with talented coworkers such as Hiroki Mukai and Yuuya Miyahara. Their combined expertise has fostered a creative environment that encourages innovation and the development of cutting-edge technologies.
Conclusion
Kouya Okudera's contributions to the field of machining defect prediction exemplify the impact of innovation in technology. His work not only enhances the efficiency of machining operations but also sets a standard for future advancements in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
