This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: General Electric Company. Active years: 2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020
Title: Innovations of Jianbo Yang
Introduction
Jianbo Yang is a notable inventor based in San Ramon, CA (US). He has made significant contributions to the field of machine health monitoring and data analysis. With a total of 2 patents, his work focuses on enhancing the reliability and efficiency of industrial machines.
Latest Patents
Jianbo Yang's latest patents include innovative systems and methods for machine health monitoring. One of his patents, titled "Machine health monitoring, failure detection and prediction using non-parametric data," describes a system that receives non-parametric data associated with the operation of an installed product. This system generates a health status for failure types and remaining useful life based on the received data. Another patent, "Apparatus and method for screening data for kernel regression model building," involves receiving raw data from industrial machines equipped with sensors. An unsupervised kernel-based algorithm is applied to this data to learn its characteristics and determine a class of acceptable data, ensuring that the data reflects healthy machine operation.
Career Highlights
Jianbo Yang is currently employed at General Electric Company, where he continues to innovate in the field of machine health monitoring. His work has contributed to advancements in predictive maintenance and operational efficiency in industrial settings.
Collaborations
Jianbo collaborates with talented individuals such as Abhinav Saxena and Achalesh Kumar Pandey. Their combined expertise fosters a creative environment that drives innovation.
Conclusion
Jianbo Yang's contributions to machine health monitoring and data analysis demonstrate his commitment to advancing technology in industrial applications. His patents reflect a deep understanding of machine operations and predictive analytics, positioning him as a key figure in his field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
