水电机组故障诊断专家系统中图形征兆的提取  

The symptom extraction of axis orbit in fault diagnosis of hydropower generating units

作　　者：张双全[1] 韦彩新[1] 邓正鹏[2] 

机构地区：[1]华中科技大学能源与动力工程学院 [2]黄龙滩水电厂

出　　处：《华中科技大学学报（自然科学版）》2003年第4期51-53,共3页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目 (5 99790 0 7)

摘　　要：将小波包分解及重构技术用于转子轴心轨迹提纯 ,利用离散余弦变换实现轴心轨迹的自动识别 ,结合水轮发电机组故障诊断系统 ,实现了轴心轨迹图形征兆的提取 ,论证了所述方法的合理性和可行性 .The decomposition of the wavelet packets and its reconstruction to purify the rotor axis orbit was used and the automatic identification of rotor axis orbit based on the application of discrete cosine transform was carried out. Combined with the fault diagnosis of hydropower generating units, the graphic symptom extraction of axis orbit was done. This paper discussed the rationality of this method and its feasibility. By this method, the diagnosis speed and precision of the system were improved.

关 键 词：水电机组 故障诊断专家系统 图形征兆 转子轴心轨迹 信息提取 

分 类 号：TM312.07[电气工程—电机] TP277[自动化与计算机技术—检测技术与自动化装置]