This inventor holds 1 USPTO granted patent and 5 published patent applications. Top assignee: Hitachi, Ltd.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Aniruddha Rajendra Rao: Innovator in Predictive Maintenance Systems
Introduction
Aniruddha Rajendra Rao is a notable inventor based in State College, PA (US). He has made significant contributions to the field of predictive maintenance systems, particularly for industrial equipment. His innovative approach combines advanced data processing techniques with practical applications in industrial settings.
Latest Patents
Aniruddha holds a patent for a "Predictive maintenance system for spatially correlated industrial equipment." This patent outlines systems and methods for processing sensor data from equipment over time to generate sensor time series data. The process involves using a kernel weight layer to generate weights for the sensor data, which is then analyzed in fully connected layers to correlate with predictive maintenance labels. Ultimately, the system generates a predictive maintenance label for the equipment, enhancing operational efficiency.
Career Highlights
Aniruddha is currently employed at Hitachi, Ltd., where he applies his expertise in developing innovative solutions for industrial challenges. His work focuses on leveraging technology to improve maintenance practices and reduce downtime in industrial operations.
Collaborations
Aniruddha collaborates with talented colleagues, including Qiyao Wang and Haiyan Wang. Together, they contribute to advancing the field of predictive maintenance through their combined knowledge and skills.
Conclusion
Aniruddha Rajendra Rao is a pioneering inventor whose work in predictive maintenance systems is shaping the future of industrial equipment management. His contributions are vital for enhancing efficiency and reliability in various industrial applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
