This inventor holds 1 USPTO granted patent. 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: Chad Holcomb - Innovator in Machine Health Measurement
Introduction
Chad Holcomb is an accomplished inventor based in Cottonwood Heights, UT (US). 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 industries.
Latest Patents
Chad holds a patent for "Machine event duration analytics and aggregation for machine health measurement and visualization." This invention addresses the unexpected failures of turbomachines, which can lead to costly and dangerous situations. The patent outlines processes that collect data from turbomachines, calculate durations of machine events, and apply predictive models to forecast future machine-event durations. This predictive output is essential for informing downstream functions about the health of the turbomachine. For instance, it can help detect degradation or potential failures, triggering alerts and controls to prevent or mitigate issues.
Career Highlights
Chad 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. With a focus on innovation, he continues to contribute to advancements in the field.
Collaborations
Chad has collaborated with notable colleagues, including Henry P. Sepulveda and David M. Higdon. Their combined efforts in research and development have furthered the understanding and application of machine health measurement technologies.
Conclusion
Chad Holcomb's innovative work in machine health measurement exemplifies the importance of predictive analytics in preventing turbomachine failures. His contributions not only enhance safety but also improve operational efficiency in various industries.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
