Xu Wang

Title: Xu Wang: Innovator in Bearing Fault Diagnosis

Introduction

Xu Wang is a prominent inventor based in Suzhou, China, known for his contributions to the field of fault diagnosis in rolling bearings. With a total of 5 patents to his name, he has made significant strides in developing innovative methods that enhance the reliability and efficiency of bearing systems under variable working conditions.

Latest Patents

Xu Wang's latest patents include a dynamic joint distribution alignment network-based bearing fault diagnosis method. This invention focuses on acquiring bearing vibration data under different working conditions to create source and target domain samples. It establishes a deep convolutional neural network model that optimizes fault diagnosis through advanced feature extraction and distance calculations. Another notable patent is the intra-class adaptation fault diagnosis method for bearings, which combines convolutional neural networks with transfer learning algorithms. This method addresses the challenges posed by domain shifts, enabling more accurate fault diagnosis by utilizing high-level features extracted from training and test samples.

Career Highlights

Throughout his career, Xu Wang has worked with notable companies such as Rosenberger Technologies Co., Ltd. and Rosenberger Technologies LLC. His experience in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to advancements in technology and engineering.

Collaborations

Xu Wang has collaborated with talented individuals in his field, including Jing Sun and Changqing Shen. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and the development of cutting-edge solutions.

Conclusion

Xu Wang's work in bearing fault diagnosis exemplifies the impact of innovation in engineering. His patents reflect a commitment to improving the reliability of mechanical systems, showcasing his expertise and dedication to advancing technology.