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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
【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 .利用该方法提高了系统的诊断速度和精度
【Abstract】 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;
轴心轨迹;
图形征兆;
【Key words】 hydropower generating units; fault diagnosis; axis orbit; graphic symptom;
【Key words】 hydropower generating units; fault diagnosis; axis orbit; graphic symptom;
【基金】 国家自然科学基金资助项目 (5 99790 0 7)
- 【文献出处】 华中科技大学学报(自然科学版) ,Journal of Huazhong University of Science and Technology , 编辑部邮箱 ,2003年04期
- 【分类号】TP182
- 【被引频次】13
- 【下载频次】146