Tianjin, China

Jian Wang

This inventor holds 4 USPTO granted patents and 1 published patent application. Top assignees: Electric Power Science & Research Institute of State Grid Tianjin Electric Power Company, Honeywell International Inc., Huaneng (Tianjin) Coal Gasification Power Generation Co., Ltd.. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jian Wang. Retrieved from https://idiyas.com/inventor/jian-wang-9bv19gwh

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 4 

% Patents Active = 75.0

Average Co-Inventor Count = 10.3

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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4 patents (USPTO):Explore Patents

Title: Innovations by Inventor Jian Wang

Introduction

Jian Wang is a notable inventor based in Tianjin, China. He has made significant contributions to the field of sensor technology and mechanical fault diagnosis. With a total of 4 patents, his work reflects a commitment to advancing technology in practical applications.

Latest Patents

One of Jian Wang's latest patents is a wall mountable sensor module with improved indoor air quality (IAQ) sensor response time. This innovative module features a housing that defines an internal space segmented into two areas. The first internal space includes an air channel that extends from an air inlet to an air outlet. The module is equipped with two or more sensors that detect different air parameters, enhancing the accuracy of air quality monitoring. Additionally, the module includes a fan that facilitates airflow, ensuring that each sensor is effectively exposed to the air.

Another significant patent is a GIS mechanical fault diagnosis method and device. This invention involves collecting vibration signals from various excitation sources during mechanical operation. The method utilizes wavelet packet-feature entropy vector extraction to identify abnormal vibration signals. By inputting these vectors into a pre-trained BP neural network, the device can accurately diagnose mechanical faults in GIS systems. This innovative approach integrates various vibration signals and employs advanced machine learning techniques for effective fault identification.

Career Highlights

Throughout his career, Jian Wang has worked with prominent companies such as Honeywell International Inc. and the Electric Power Science & Research Institute of State Grid Tianjin Electric Power Company. His experience in these organizations has contributed to his expertise in sensor technology and mechanical diagnostics.

Collaborations

Jian Wang has collaborated with talented individuals in his field, including Chao Chen and Yu Yan. These partnerships have fostered innovation and the development of advanced technologies.

Conclusion

Jian Wang's contributions to sensor technology and mechanical fault diagnosis demonstrate his innovative spirit and dedication to improving technology. His patents reflect a deep understanding of practical applications that enhance efficiency and accuracy in various industries.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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