Methods of Fault Diagnosis in Fiber Optic Current Transducer Based on Allan Variance

Abstract EN

To ensure low failure and high reliability of fiber optic current transducers (FOCTs), it is urgent to study methods of condition monitoring and fault diagnosis in FOCT.

Faults in FOCT have statistical characteristics.

With the analyzing of time domain and frequency domain features in fiber optic current transformers’ measurement data, we establish correspondence between the physical characteristics of key components in transformer and data features and then build diagnostic analysis model based on Allan variance.

According to the Allan variance calculation results, we can diagnose fiber optic current transformer’s health state and realize faults location.

Experiment results show that diagnostic methods based on Allan variance are accurate and effective to identify fault features.