This inventor holds 1 USPTO granted patent. Top assignee: Csi Technology, Inc.. Active years: 1999.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 1999
Title: Brent Vanvoorhis: Innovator in Machine Fault Detection
Introduction
Brent Vanvoorhis is a notable inventor based in Kingston, TN (US). He has made significant contributions to the field of signal processing, particularly in the area of machine fault detection. His innovative approach has led to the development of a unique device that enhances the reliability of machinery.
Latest Patents
Brent holds a patent for a device titled "Machine fault detection using vibration signal peak detector." This signal processing device is designed to process machine vibration signals effectively. It includes a peak value detector that determines peak vibration amplitude values during predetermined sample time periods. The device can digitally process the vibration signal or employ analog processing methods. The peak values obtained are crucial for identifying mechanical faults, which can be detected at periodic rates corresponding to the defect frequencies of mechanical components.
Career Highlights
Brent is currently associated with Csi Technology, Inc., where he applies his expertise in signal processing to develop advanced technologies. His work focuses on improving the detection of mechanical faults, which is essential for maintaining the efficiency and safety of machinery.
Collaborations
Brent has collaborated with notable colleagues, including James C Robinson and Wojtek Miller. Their combined efforts contribute to the advancement of technology in the field of machine fault detection.
Conclusion
Brent Vanvoorhis is a distinguished inventor whose work in machine fault detection has the potential to revolutionize the industry. His innovative patent demonstrates a commitment to enhancing machinery reliability through advanced signal processing techniques.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile