期刊
IEEE SENSORS JOURNAL
卷 23, 期 5, 页码 4819-4824出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2023.3236257
关键词
Directional bending; machine learning (ML); multimode fiber interferometer; optical fiber sensors
A fiber sensor for directional bending monitoring is proposed, which is made of a single piece of multimode elliptical-core fiber and works in a reflection regime. The interference spectrum generated by the system has nonuniform amplitude and nonperiodic shape, making it suitable for pattern recognition algorithms. The flexible rod fixed with the sensor generates specific optical spectra for each bending position, which can be identified by the pattern recognition algorithm. Experimental results of directional bending monitoring based on pattern recognition and trajectory estimation are presented.
A fiber sensor for directional bending monitoring is presented. The sensor is made of a single piece of a multimode elliptical-core fiber (ECF) and works in a reflection regime. The interference spectrum generated by the proposed system has a nonuniform amplitude and nonperiodic shape that makes the sensing signal adequate for a pattern recognition algorithm to be implemented. The ECF is fixed to a flexible rod, and each bending position of the rod generates a specific optical spectrum, which is then identified by a pattern recognition algorithm. Using algorithm identification, the trajectory of the flexible rod can be calculated. Experimental results demonstrating directional bending monitoring, based on pattern recognition and estimation of the flexible rod trajectory, are presented.
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