Fault diagnosis apparatus based on fluorescence multivariate correction analysis of transformer oil

Abstract

Provided are a fault diagnosis apparatus and method based on fluorescence multivariate correction analysis of transformer oil, relating to the field of transformer fault diagnosis technology. Thus, the problem of large volume and weight of the apparatus, high costs, and inconvenience to use caused when in the related art, a fluorescence spectrometer is directly used to acquire the fluorescence spectrum of transformer oil is solved. The monochromatic excitation light of an optimal excitation wavelength generated by a fluorescence excitation source is used to excite the transformer oil in a fluorescence excitation detection apparatus to generate fluorescence. The fluorescence excitation detection apparatus generates the fluorescence according to the input monochromatic excitation light and inputs the fluorescence to a fluorescence signal acquisition and analysis apparatus. Since the fluorescence signal acquisition and analysis apparatus acquires and analyzes the fluorescence signal emitted by the transformer oil by using a multivariate correction filter group, the emission monochromator component of the fluorescence spectrometer is replaced. In this manner, the equipment costs and the equipment volume are reduced, and data processing is rapid. Thus, the cost performance of the fault detection of the transformer oil is improved, thereby implementing the engineering application of the fluorescence monitoring technology in the online diagnosis of the transformer failure.