作者: Abdelfateh Kerrouche , Taoufik Najeh , Pablo Jaen-Sola
DOI: 10.3390/S21113639
关键词: Automotive engineering 、 Electronics 、 Finite element method 、 Fiber Bragg grating 、 Train 、 Axle 、 Optical fiber 、 Fault detection and isolation 、 Point (geometry) 、 Computer science
摘要: Railway infrastructure plays a major role in providing the most cost-effective way to transport freight and passengers. The increase train speed, traffic growth, heavier axles, harsh environments make railway assets susceptible degradation failure. switches crossings (S&C) are key element any network, flexible for trains switch between tracks (through or turnout direction). S&C systems have complex structures, with many components, such as crossing parts, frogs, switchblades, point machines. Many technologies (e.g., electrical, mechanical, electronic devices) used operate control S&C. These subject failures malfunctions that can cause delays, disruptions, even deadly accidents. Suitable field-based monitoring techniques deal fault detection sought after. Wear is of system failures. A novel measuring method monitor excessive wear on frog, part S&C, based fiber Bragg grating (FBG) optical sensors, discussed this paper. developed solution FBG sensors strain profile frog determine size. numerical model 3D prototype was through finite method, define loading testing conditions, well comparison experimental tests. were examined under periodic controlled Results pilot study, simulation laboratory tests, shown correlation static load. It results studies good agreement.