文章通过对高压断路器状态检测现状分析及几种目前国内外经常采用的几种评估方法的介绍。针对高压断路器评估因素复杂，影响工作状态机理分析较少的现状，作者提出用模糊综合评判来评估断路器工作状态的方法，为能够及时了解高压断路器的运行状态提供一种新的算法。

This paper illustrates the methods of extracting instinct parameters and deformation recognition by using wavelet transform, which applied in low voltage impulse (LVI) method on the transformer winding deformation detection. The results shows that it is effective to eliminate the noises by using wavelet transform, meanwhile, it can also make measurement repetitive and has a property on model recognition on deformation.

变压器油中溶解气体在线监测对变压器绝缘状态分析具有积极的指导作用，在线监测用气体传感器是实施该技术 的关键。本文针对半导体气体传感器的交叉敏感特性，提出了将气体传感器阵列与人工神经网络技术相结合，形成一种智能传感器，用于单一气体的定性识别和定量检测；利用六个半导体气体传感器组成传感器阵列，采用BP神经网络进行模式识别。通过大量的试验证明了本文提出的智能传感器可有效提高H2、CO、CH4、C2H4、C2H2、C2H6六种气体的分辨率和检测灵敏度。

In this paper, a new method for vibration fault diagnosis of large steam turbine-generation is proposed based on theory of adaptive wavelet network (AWN). A special adaptive wavelet network classifier for arbitrary nonlinear system is developed, algorithm of back propagation type is proposed. By means of computer simulation and with applying to fault diagnosis, and the performance of the AWN are compared with that of the conventional multilayer perception. The results show that this method has better diagnostic, faster speed of learning properties and it is an efficient new method. And then some important related elements, which affect the performance of classification AWN is analyzed, conclusions that are of great importance in real application, are obtained.

本文提出了一种在快速暂态过电压作用下，基于准静态电磁场，以单匝中并联导线为单元支路和以两段线匝为单元支路相结合的集中参数混合线圈模型。对相关的参数计算进行了分析，并对以两段线饼为单元支路的线圈模型进行截波冲击下的仿真分析。