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期刊论文
ON-LINE DETECTION OF GASES DISSOLVED IN TRANSFORMER OIL AND THE FAULTS DIAGNOSIS
，-0001，（）：
This paper describes the theory of on-line detection of six kinds of gases-H2, CO, CH4, C2H4, C2H2, C2H6-which are dissolved in transformer oil, and analyzes the characterististics of the microcomputer detection system. The back propagation neural network (BPNN) is applied to diagnosing the transformer faults, and the results of verification show that the BPNN diagnosis method is effective[3].
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