Xiaoke Huang

Title: Innovations of Xiaoke Huang in Fault Diagnosis

Introduction

Xiaoke Huang is an accomplished inventor based in Hangzhou, China. He has made significant contributions to the field of industrial process monitoring through his innovative methods. His work focuses on utilizing advanced technologies to enhance fault diagnosis in blast furnaces.

Latest Patents

Xiaoke Huang holds a patent titled "Method for deriving fault diagnosis rules of blast furnace based on deep neural network." This patent relates to the field of industrial process monitoring, modeling, and simulation. The method involves using a deep neural network to model historical fault data of the blast furnace. For each type of fault, the process begins at the output layer of the network, where sub-models of nodes in adjacent layers are established using decision trees. This approach allows for the derivation of if-then rules, which are then merged layer by layer to obtain comprehensive fault diagnosis rules. The rules utilize blast furnace process variables as antecedents and fault categories as consequents.

Career Highlights

Xiaoke Huang is affiliated with Zhejiang University, where he continues to advance research in industrial processes. His innovative approach to fault diagnosis has garnered attention in the academic and industrial communities.

Collaborations

Xiaoke Huang collaborates with Chunjie Yang, contributing to the development of advanced methodologies in their field.

Conclusion

Xiaoke Huang's contributions to fault diagnosis through his patented methods demonstrate his commitment to innovation in industrial processes. His work not only enhances the efficiency of blast furnaces but also sets a precedent for future research in the field.