Optical fiber vibration sensor for automated inspection of industrial assets

Vibration pattern of industrial assets is characteristic of the operating state of the structure. In environments with difficult access and explosive atmospheres, inspection of this vibration pattern can be performed using robotic manipulators. In this work, an optical fiber vibration sensor embedde...

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Bibliographic Details
Published in2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE) pp. 445 - 448
Main Authors De Lima Costa, Ciro Matheus, Goncalves, Maria Eduarda Benfica, Ramalho, Jessica Guerreiro Santos, Da Silva, Lucas Cruz, Dias, Paula Do Patrocinio, Almeida, Jamile Santos, Silva, Douglas Lima, Da Silva, Valeria Loureiro
Format Conference Proceeding
LanguageEnglish
Published IEEE 09.10.2023
Subjects
Accelerometers
fiber optic sensor
Inspection
macrobending sensor
Optical fiber sensors
Optical fibers
Robot sensing systems
Vibration measurement
vibration sensor
Vibrations
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Summary:Vibration pattern of industrial assets is characteristic of the operating state of the structure. In environments with difficult access and explosive atmospheres, inspection of this vibration pattern can be performed using robotic manipulators. In this work, an optical fiber vibration sensor embedded in a silicone elastomer was developed and characterized. The vibration sensor is based on macrobending losses and can be interrogated by monitoring the transmitted optical power. The simple detection system combined with the small size and weight of the sensor makes it suitable for incorporation into a robotic manipulator. The test results show a good correlation between the acceleration and vibration frequency measured by the optical fiber sensor and commercial accelerometer and vibrometer. Therefore, the concept of a vibration sensor based on a fiber coil embedded in silicone is a viable alternative for measuring vibration in places where electronics may pose a risk of explosion, such as oil production platforms.
ISSN:2643-685X
DOI:10.1109/LARS/SBR/WRE59448.2023.10333054