18-07-2023 дата публикации
Номер: CN116448934A
Принадлежит:
The invention discloses a fuzzy PID transformer oil chromatography online monitoring method and system based on an adaptive neural network, and the method comprises the following steps: 1) collecting an oil sample, opening an oil inlet valve by the system after the detection time set by a user is up, and enabling transformer oil to enter an oil-gas separator through an oil taking valve port by virtue of the oil pressure of the transformer oil; step 2) oil-gas separation: in an oil-gas separator, fault characteristic gas dissolved in oil is separated out, residual oil enters an oil tank through oil circulation, and the extracted gas is separated by using an oil chromatographic analyzer; and step 3) gas detection: the separated gas enters a gas concentration sensor, gas concentration detection information is converted into a voltage signal, the voltage signal is converted into a digital sequence signal by using a high-precision A/D converter, and whether the operation state of the transformer ...
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