A Wire Fault Detection Method for Power Grid Voltage Monitor Based on Brillouin Fiber Optic Sensing
The wires of the power grid voltage monitoring instrument have been affected and corroded by the natural environment for a long time,and the wires are prone to deterioration or even breakage and other faults.In this context,fault detection is essential.To address the issue of insufficient accuracy in previous detection methods,a wire fault detection method for power grid voltage moni-toring instruments based on Brillouin fiber optic sensing is studied.This method utilizes Brillouin fiber optic sensing technology to col-lect the back Brillouin scattering photoelectric signal of the power grid voltage monitor wire and perform denoising processing on it.Extract two time-domain features of Brillouin fiber optic sensing signals,namely kurtosis index and peak index,and two frequency-domain indicators,namely spectral concentration degree and spectral dispersion degree,to form feature vectors.The random forest al-gorithm is used to build the detection model.With the eigenvector as the input,the fault type of the wire of the power grid voltage mo-nitor is obtained.The time spent in the process of starting to transmit the pulse laser to the acquisition is used to calculate the location of the fault on the wire and complete the fault detection of the wire of the power grid voltage monitor.The results showed that under the application of the studied method,sample 1 was detected to have a deterioration fault,with the fault location being 2.63 m away from the laser,sample 3 had a fracture fault,with the fault location being 7.08m away from the laser,while sample 2 did not have a fault.The Gini coefficient of the studied detection method is relatively larger,greater than 0.9,indicating a higher accuracy of the detection method.
brillouin fiber optic sensing technologywire for power grid voltage monitoring instrumentfeature extractionran-dom forest algorithmfault detection methods
万方数据
维普
