Los Gatos, CA, United States of America

Qiyao Wang

USPTO Granted Patents = 5 

Average Co-Inventor Count = 4.5

ph-index = 2

Forward Citations = 5(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (2020)
  • Los Gatos, CA (US) (2021 - 2022)

Company Filing History:


Years Active: 2020-2025

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5 patents (USPTO):Explore Patents

Title: Innovations of Qiyao Wang

Introduction

Qiyao Wang is a prominent inventor based in Los Gatos, CA. He has made significant contributions to the field of industrial systems through his innovative patents. With a total of 5 patents, Wang has established himself as a key figure in the realm of anomaly detection and predictive maintenance.

Latest Patents

One of his latest patents is a versatile anomaly detection system for industrial systems. This method focuses on detecting anomalies in time series sensor data. It involves identifying the noisiest cycle from the data and evaluating it to determine if it indicates an anomaly at a confidence level above a certain threshold. If the confidence level does not meet the threshold, the system identifies a cycle with the most differing shape and provides it as the anomaly. Another notable patent is a predictive maintenance system for spatially correlated industrial equipment. This system processes sensor data over time to generate time series data and applies a kernel weight layer to weigh this data. It then correlates the weighted data with predictive maintenance labels to generate an intermediate label, ultimately producing a predictive maintenance label for the equipment.

Career Highlights

Qiyao Wang is currently employed at Hitachi, Ltd., where he continues to develop innovative solutions for industrial applications. His work has significantly impacted the efficiency and reliability of industrial systems.

Collaborations

Wang collaborates with talented individuals such as Chetan Kumar Gupta and Haiyan Wang, contributing to a dynamic and innovative work environment.

Conclusion

Qiyao Wang's contributions to the field of industrial systems through his patents demonstrate his expertise and commitment to innovation. His work in anomaly detection and predictive maintenance continues to pave the way for advancements in technology.

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