Research on photoacoustic sensing of transformer fault gases

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Dissolved Gas-in-oil Analysis is one of the most effective methods to diagnose the potential inner faults of power transformers. To overcome the disadvantages of the current sensing methods including gas chromatographic and Fourier Transform InfraRed techniques, photoacoustic spectroscopy has been introduced for both online and offline monitoring of transformer fault gases. Pulsed infrared sources are recommended and the wavelengths for each diagnostic gas are suggested. For hydrogen has no absorption in Infrared band, in no way can it be detected by infrared spectroscopy. Therefore, a novel technique is introduced to detect hydrogen via the phase shift of photoacoustic signals. The detailed sensing principle gives that the relative time shift of the photoacoustic signals by the adding of each fault gas is proportional to the added concentration of the very gas. By subtracting the effect of all the other fault gases, the added concentration of hydrogen can be calculated. Analyses show that the error of this method may be smaller than that of measuring other fault gases; the lowest sensible limits from 5ppm to 60ppm may require the time resolution of the system to be within the range of 10-6~10-9 and they are tested to be reachable by simulations on LabVIEW.

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