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For the Inventor, By the Inventor

Hubei, China

Jiajun Duan

USPTO Granted Patents = 15 

Average Co-Inventor Count = 4.9

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:

goldMedal15 out of 263 
 
Wuhan University
 patents

Years Active: 2019-2024

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15 patents (USPTO):
1. 11921169 - Transformer fault diagnosis method and system using induced ordered weighted evidence reasoning (2024-03-05),
2. 11913854 - Method and system for fault diagnosis with small samples of power equipment based on virtual and real twin spaces (2024-02-27),
3. 11888316 - Method and system of predicting electric system load based on wavelet noise reduction and EMD-ARIMA (2024-01-30),
4. 11875500 - Failure diagnosis method for power transformer winding based on GSMallat-NIN-CNN network (2024-01-16),
5. 11656298 - Deep parallel fault diagnosis method and system for dissolved gas in transformer oil (2023-05-23),
6. 11619682 - Transformer failure identification and location diagnosis method based on multi-stage transfer learning (2023-04-04),
7. 11586913 - Power equipment fault detecting and positioning method of artificial intelligence inference fusion (2023-02-21),
8. 11581130 - Internal thermal fault diagnosis method of oil-immersed transformer based on deep convolutional neural network and image segmentation (2023-02-14),
9. 11544917 - Power electronic circuit fault diagnosis method based on optimizing deep belief network (2023-01-03),
10. 11520676 - Method and system for power equipment diagnosis based on windowed feature and Hilbert visualization (2022-12-06),
11. 11474163 - Power transformer winding fault positioning method based on deep convolutional neural network integrated with visual identification (2022-10-18),
12. 11218112 - Silicon photovoltaic cell scanning eddy current thermography detection platform and defect classification method (2022-01-04),
13. 11079419 - System for testing Nakagami fading channel and verification method thereof (2021-08-03),
14. 10776232 - Deep belief network feature extraction-based analogue circuit fault diagnosis method (2020-09-15),
15. 10516361 - Space vector pulse width modulation method for suppressing common-mode voltage of multiphase motor (2019-12-24),

Title: Innovations of Jiajun Duan in Transformer Fault Diagnosis

Introduction

Jiajun Duan is a prominent inventor based in Hubei, China, known for his significant contributions to the field of power equipment fault diagnosis. With a total of 15 patents to his name, Duan has developed innovative methods and systems that enhance the reliability and efficiency of transformer diagnostics.

Latest Patents

One of Duan's latest patents is a "Transformer fault diagnosis method and system using induced ordered weighted evidence reasoning." This method involves loading a typical data sample of transformer sweep frequency response analysis and setting a diagnostic label as an identification framework. The process includes calculating basic probability assignments and constructing a reliability decision matrix. By utilizing an induced ordered weighted averaging operator, the method fuses evidence to determine diagnosis results, enabling fault identification and type distinction in power equipment.

Another notable patent is the "Method and system for fault diagnosis with small samples of power equipment based on virtual and real twin spaces." This innovative approach acquires test samples from various locations and fault types to form a real physical space. A virtual mirror space is created through simulation, and the training sets from both spaces are integrated to enhance the diagnostic capabilities of deep neural networks.

Career Highlights

Duan is affiliated with Wuhan University, where he continues to advance research in power equipment diagnostics. His work has significantly impacted the field, providing new methodologies for fault detection and analysis.

Collaborations

Duan collaborates with esteemed colleagues, including Yigang He and Liulu He, contributing to the advancement of technology in their shared field of expertise.

Conclusion

Jiajun Duan's innovative patents and research in transformer fault diagnosis exemplify his commitment to enhancing power equipment reliability. His contributions are vital to the ongoing development of diagnostic technologies in the energy sector.

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