Performance of SLD light source in fiber optic current sensor is easily affected by temperature, vibration, and device aging failure, and the failure mechanism is not clear. This paper proposes a fault diagnosis method for fiber optic current sensors based on light source monitoring data. In this paper, according to the working principle of fiber optic current sensor and SLD light source, we analyze the influence of light source parameters on fiber optic current sensor and establish light source data monitoring. The feature vector is dimensionalized by feature extraction. Using the light source monitoring data, a support vector machine-based fault diagnosis model with different kernel functions is designed to establish a fault diagnosis model for fiber optic current sensors. Experiment results indicate that the SVM fault diagnosis model takes less time and has better diagnostic performance, which basically meets the field diagnosis requirements.
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