Lejiang Guo

Design of train ride quality testing system based on wireless sensor network

The experiment on the Railway Riding Quality System functions as measuring the accelerated vertical or horizontal amplitude and frequency resulting from vibration by means of the accelerate sensor, which constitutes a key testing on dynamic performance of railway vehicles. Based on the Wireless Sensor Network (WSN), this article puts forward a new method to test the stability of railway performance — the TRQTS(Train Ride Quality Testing System). The TRQTS consists of the two modules respectively as the Data Collection Platform and the Data Analysis & Processing. The former module automatically collects data concerning railway performance without any manual intervention, while the latter module involves data segmentation, signal filtering, Fast Fourier Transformation (FFT), spectrum analysis. The experiment that has been operated on the railway vehicles indicates that the TRQTS system possesses higher reliability.

PSO Application in Power System: Low-Frequency Oscillation Fault Analysis

Low-frequency oscillation is an important problem in modern power systems, the system monitoring and realtime analysis operation are the most basic and important part of the system stability. This paper introduces the main issues of the detection of power system low-frequency oscillation and the fundamental principles of particle swarm optimization (PSO) technique. Point out the lack of the ordinary signal analysis methods in low-frequency oscillations detection, and discuss the feasibility of using the PSO algorithm to detect low-frequency oscillation in power system.