This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Caterpillar Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations by David S. Glaser in Machine Health Measurement
Introduction
David S. Glaser is an accomplished inventor based in Euless, Texas. He has made significant contributions to the field of machine health measurement through his innovative patent. His work focuses on enhancing the reliability and safety of turbomachines, which are critical components in various industrial applications.
Latest Patents
David S. Glaser holds a patent for "Machine event duration analytics and aggregation for machine health measurement and visualization." This invention addresses the challenges posed by unexpected turbomachine failures, which can lead to costly and dangerous situations. The patent outlines a process that collects data from turbomachines, calculates the durations of machine events, and applies predictive models to forecast future machine-event durations. This predictive capability is essential for detecting trends and potential failures, allowing for timely interventions to prevent degradation or failure.
Career Highlights
David S. Glaser is currently employed at Caterpillar Inc., a leading company in the manufacturing of heavy machinery and equipment. His role involves leveraging his expertise in machine health analytics to improve the performance and reliability of turbomachines. His innovative approach has positioned him as a valuable asset within the organization.
Collaborations
Throughout his career, David has collaborated with notable colleagues, including Henry P. Sepulveda and David M. Higdon. These collaborations have fostered a creative environment that encourages the development of groundbreaking solutions in machine health measurement.
Conclusion
David S. Glaser's contributions to machine health measurement through his innovative patent demonstrate his commitment to enhancing the reliability of turbomachines. His work not only addresses critical industry challenges but also paves the way for future advancements in machine analytics.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
