Distributed fiber Bragg grating sensors information fusion and decoupling

Abstract

Optical fiber sensors can be used to measure many different parameters including strain, temperature, pressure, displacement, electrical field, refractive index, rotation, position and vibrations. Among a variety of fiber sensors, fiber Bragg grating (FBG) has numerous advantages over other optical fiber sensors. One of the major advantages of this type of sensors is attributed to wavelength-encoded information given by the Bragg grating. Since the wavelength is an absolute parameter, signal from FBG may be processed such that its information remains immune to power fluctuations along the optical path. This inherent characteristic makes the FBG sensors very attractive for application in harsh environment, and on-site measurements. But FBG sensors can measure temperature and strain simultaneously; it is necessary to decouple measurement information. In the present paper, A distributed fiber Bragg grating sensors measurement system that measures global deformations of large surface online-based FBG sensors is introduced. Short overview of the measurement principle and the signal processing realized and fusion method as well as the application of the sensor in the field of large surface will be presented. A new fusion method based on the federal Kalman filter to decouple information of the temperature and strain is proposed. The algorithm of optimum estimation fusion for distributed FBG systems based on the model of deformation of beam is studied. Simulation results and experimental results show algorithm of fusion and decoupling is an efficient method for improving performance of distributed FBG sensors system.