Serious sensor drift (a gradual decrease in accuracy on a sensor) might indicate that a sensor will require a gas calibration, or it might imply a physical problem with a sensor or with the monitor's electronics. Very minor signal fluctuation happens naturally on most sensors due to minor fluctuations in temperature, pressure, and air concentration. Fiber optic sensors' inherent benefits of lightweight, compact size, and low attenuation were actively leveraged to overcome. Spectroscopic Optical Fibre Sensors Generally, spectroscopic techniques have been applied to fibre-optics sensors and are relatively successful in gas sensing applications. Two major mechanisms underpin these types of sensors. Sensor drift. Using machine learning and an established mathematical model, scientists at the National Institute of Standards and Technology (NIST) developed a machine learning-based algorithm to predict drift in existing fiber Bragg grating (FBG) temperature sensors.
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