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介绍了变压器油中溶解气体微机在线监测系统的总体结构 ,阐述了系统硬件和软件实现方法。通过试验结果 ,说明了基于人工神经网络对混合气体的组分与浓度进行识别的方法具有快速性及较高的准确性等特点 ,解决了溶解气体对传感器“交叉敏感”的问题 ,因而具有广泛的应用前景
The general structure of on-line monitoring system for dissolved gas in transformer oil is introduced. The hardware and software implementation of the system are described. The experimental results show that the method of identifying the composition and concentration of mixed gas based on artificial neural network has the characteristics of fastness and high accuracy, and solves the problem of “cross-sensitivity” of dissolved gas to the sensor, The application prospects