Company Filing History:
Years Active: 2023-2024
Title: Huarong Wang: Innovator in Fault Arc Detection Technology
Introduction
Huarong Wang is a notable inventor based in Shandong, China. He has made significant contributions to the field of fault arc detection technology, holding a total of 3 patents. His work focuses on utilizing advanced methods, including convolutional neural networks, to enhance the accuracy and reliability of fault arc detection.
Latest Patents
Huarong Wang's latest patents include a fault arc signal detection method using convolutional neural networks. This method involves enabling a sampling signal subjected to analog-digital conversion to pass through three different band-pass filters. It extracts time-domain and frequency-domain features from the output of each filter, constructing a three-dimensional matrix for processing. The method demonstrates higher accuracy and reliability in recognizing fault arc half waves and allows for targeted training under different load conditions.
Another significant patent is the fault-arc identification method, device, and apparatus, along with a storage medium. This method performs high-frequency sampling on a target arc to obtain a processed sampling signal. It then extracts features from this signal and inputs them into a neural network model to determine whether the target arc is a fault arc. This approach improves the accuracy and reliability of fault arc detection results.
Career Highlights
Huarong Wang is currently employed at Qingdao Topscomm Communication Co., Ltd. His work at this company has allowed him to further develop his innovative ideas and contribute to advancements in fault detection technologies.
Collaborations
Huarong Wang collaborates with talented individuals such as Jianhua Wang and Yue Ma. Their combined expertise enhances the development of innovative solutions in their field.
Conclusion
Huarong Wang is a prominent inventor whose work in fault arc detection technology has led to significant advancements in the industry. His innovative patents and collaborative efforts continue to shape the future of fault detection methods.