School of Electrical and Electronic Engineering, Huazhong University of Science and Technology(HUST), Wuhan, China

Biography: Professor Li Kaicheng mainly focuses on research on electromagnetic measurement, power quality analysis and control, electronic transformer, intelligent instrument etc. He teaches courses such as “Signals and Systems”, “Sensors and Automatic Measurement”, “Weak signal detection” and so on. He published more than 100 papers in domestic and international journals, and gained morn 10 patents and 5 government awards. He instructed more than 30 master’s degree students and PhD students.

Speech Title: A Real-Time Power Quality Disturbances Classification Using Hybrid Method Based on S-Transform and Dynamics
Abstract: This paper proposes a real-time power quality disturbances (PQDs) classification by using a hybrid method (HM) based on S-transform (ST) and dynamics (Dyn). Classification accuracy and run time are mainly considered in our work. The HM firstly uses Dyn to identify the location of the signal components in the frequency spectrum yielded by Fourier transform, and uses inverse Fourier transform to only some of the signal components. Then features from Fourier transform, ST, and Dyn are selected, and a decision tree is used to classify the types of PQD. In order to reduce the influence of Heisenberg’s uncertainty, we proposed that different signal components are windowed by different Gaussian windows, which brings better adaption and flexibility. By the HM, run time of the application has been greatly reduced with satisfactory classification accuracy. Finally, a DSP-FPGA based hardware platform is adopted to test the run time and correctness of the proposed method under real standard signals. Field signal tests have also presented. Both simulations and experiments validate the feasibility of the new method.