Wireless Localization of Spallings in Switch-Rails With Guided Waves Based on a Time–Frequency Method
作者： Pan Hu , Haitao Wang , Guiyun Tian , Zeyu Dong , Fasheng Qiu
DOI: 10.1109/JSEN.2019.2934159
关键词: Structural health monitoring 、 Reflection (physics) 、 Spall 、 Time–frequency analysis 、 Acoustics 、 Wireless 、 Computer science 、 Power (physics) 、 Transmission (telecommunications)
摘要: Guided waves have been studied for monitoring defects on switch-rails. However, few researchers study of spallings. Previous studies switch-rail damage detection are not suitable this kind at the edge rail web. In addition, wired configurations challenges power supply and more cost. This paper proposes a time-frequency analysis based algorithm that is used to locate The verified through an improved wireless structural health (SHM) platform. excitation frequency 108 kHz chosen as compromise between larger wave velocity differences smaller detectable sizes. A total 4 piezoelectric (PZT) devices make up one actuator-sensor array. 2 PZT placed sides web both them same direction. other mounted top measure spalling induced according cloud charts. arrival time, frequency, features main modes in transmission reflection extracted. Then these parameters substituted proposed predict location. Simulation epoxy bonding experimental results show method can identify 15 mm length different locations. Finally, attention paid mode identification errors influence localization. effects curvature guided switch-rails analyzed considered be cause errors.
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