Kyiv, Ukraine

Maksym Boreiko

This inventor holds 1 USPTO granted patent. Top assignee: Aktiebolaget Skf. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Maksym Boreiko. Retrieved from https://idiyas.com/inventor/maksym-boreiko

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovations of Maksym Boreiko

Introduction

Maksym Boreiko is an accomplished inventor based in Kyiv, Ukraine. He has made significant contributions to the field of engineering, particularly in the area of bearing defect detection. His innovative approach has led to the development of a unique system that enhances the reliability of machinery.

Latest Patents

Maksym holds a patent for a "System and method for bearing defect auto-detection." This method involves an algorithm that processes condition monitoring data, including vibration harmonics of at least one bearing coupled to a rotatable shaft. The algorithm is designed to confirm with a high degree of confidence whether a bearing defect is present or not. This innovation is crucial for maintaining the efficiency and safety of mechanical systems.

Career Highlights

Maksym Boreiko is currently employed at SKF, a leading global supplier of bearings and units, seals, mechatronics, services, and lubrication systems. His work at SKF allows him to apply his expertise in real-world applications, contributing to the advancement of technology in the industry.

Collaborations

Maksym has collaborated with notable colleagues, including Lukas Koeping and Allan Thomson. Their combined efforts in research and development have furthered the understanding and implementation of bearing technologies.

Conclusion

Maksym Boreiko's contributions to the field of engineering, particularly through his patent on bearing defect auto-detection, showcase his innovative spirit and dedication to improving mechanical reliability. His work at SKF and collaborations with other professionals highlight the importance of teamwork in driving technological advancements.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…