基于Volterra模型盲辨识的水轮机转轮状态识别  

Status Recognition of Hydraulic Turbine Runner Based on Blind Identification of Volterra Series

作　　者：夏鑫[1] 周建中[1] 朱文龙[1] 李超顺[1] 

机构地区：[1]华中科技大学水电与数字化工程学院,湖北省武汉市430074

出　　处：《中国电机工程学报》2014年第20期3392-3396,共5页Proceedings of the CSEE

基　　金：国家自然科学基金项目(51239004;51079057);高等学校博士学科点专项科研基金(20100142110012)~~

摘　　要：为实现水轮机转轮状态及时有效地识别,运用基于模型的状态识别方法建立水轮机转轮模型,从而提取转轮不同状态下的特征,达到状态识别的目的。鉴于水轮机转轮模型的输入量非常复杂且不易测得的特点,假定水轮机转轮受到的不均匀力作为一个随机输入,利用水导轴承摆度作为输出,提出了基于Volterra模型盲辨识的水轮机转轮状态识别方法。利用在线监测系统中已有的水导轴承摆度数据作为输出,辨识出水轮机转轮Volterra时域模型。结合多维傅里叶变化,建立转轮的广义频率响应模型(generalized frequency response function,GFRF)。通过模型频域上的变化,分析转轮状态的变化。仿真实验和实例研究表明,Volterra模型盲辨识方法能够很好地反映原系统的频域特性,实现了水电机组转轮频域特征的良好提取,进而可采用该方法对水轮机转轮进行状态识别。In order to recognize runner state of hydraulic turbine timely and effective, modeling method was used to build the runner model, and effective feature was extracted for state recognition. As the input signal of hydraulic turbine runner is complex and difficult to be measured, this paper assumed the input unbalance force which act on the runner as a random processing, and a state recognition method based on blind identification of Volterra series was proposed. The Volterra model of hydraulic turbine runner was built by blind identification method with the monitoring data of guide bearing. generalized frequency response function（GFRF） was built by multi-Fourier transform. Runner state was recognized by analyzing the diversification in the frequency domain. Experimental research proves that the proposed method describe the frequency domain characteristics very well, and the extracted frequency feature is effective. Moreover, this method is suitable for state recognize of hydraulic turbine runner.

关 键 词：水轮机转轮 状态识别 VOLTERRA级数 盲辨识 广义频率响应(GFRF) 

分 类 号：TM312[电气工程—电机]