Senxiang Lu

Title: Innovations of Senxiang Lu in Pipeline Defect Detection

Introduction

Senxiang Lu is a prominent inventor based in Shenyang, China. He has made significant contributions to the field of pipeline defect detection through his innovative methods. His work focuses on utilizing advanced techniques to enhance the accuracy and efficiency of identifying defects in pipelines.

Latest Patents

Senxiang Lu holds a patent for an "Intelligent inversion method for pipeline defects based on heterogeneous field signals." This innovative method involves several steps, including acquiring heterogeneous field signals, performing abnormality judgment, and correcting base values of the signals. The process also includes denoising treatments, padding the denoised signals, and unifying them into consistent sizes. Furthermore, it employs a nonlinear transformation on signal amplitudes and designs a sparse autoencoder to obtain primary characteristics of the signals. The method classifies pipeline defects based on their dimensions and utilizes a multi-classification neural network to extract deep characteristics containing defect size information. Finally, it constructs a random forest regression model to achieve intelligent inversion for the sizes of the pipeline defects.

Career Highlights

Senxiang Lu is affiliated with Northeastern University, where he continues to advance his research and development in pipeline technology. His work has garnered attention for its innovative approach to solving complex problems in the field.

Collaborations

Senxiang Lu has collaborated with notable colleagues, including Huaguang Zhang and Jinhai Liu. Their combined expertise contributes to the advancement of research in pipeline defect detection.

Conclusion

Senxiang Lu's innovative methods and dedication to research have made a significant impact in the field of pipeline defect detection. His patent showcases the potential for intelligent solutions in addressing critical infrastructure challenges.