Dechuan Chen

Title: Dechuan Chen: Innovator in Fault Detection for Refrigeration Units

Introduction

Dechuan Chen is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of refrigeration technology through his innovative approaches to fault detection. His work is particularly relevant in the context of improving the efficiency and reliability of refrigeration units.

Latest Patents

One of Dechuan Chen's notable patents is a fault detection method for refrigeration units based on an improved deep learning model. This patent outlines a comprehensive approach that includes several key steps. First, it involves obtaining operating parameters of a refrigeration unit in both normal and faulty states. Next, the method detects local outliers in the data set using a local outlier factor algorithm, followed by the removal of these outliers. The data set is then expanded through adaptive synthetic sampling and normalized. Finally, a fault detection model is constructed, allowing for the input of parameters from the tested refrigeration unit to determine if a fault exists and identify its type.

Career Highlights

Dechuan Chen is affiliated with Hangzhou Dianzi University, where he contributes to research and development in the field of refrigeration technology. His academic background and practical experience have positioned him as a key figure in advancing fault detection methodologies.

Collaborations

Dechuan Chen has collaborated with notable colleagues such as Qiang Ding and Qixing Zeng. Their combined expertise enhances the research and development efforts in their respective fields.

Conclusion

Dechuan Chen's innovative work in fault detection for refrigeration units exemplifies the impact of deep learning technologies in practical applications. His contributions are paving the way for more efficient and reliable refrigeration systems.