摘要
为研究发电机组运行对新丰江大坝频率的影响,需对大坝的频率进行连续识别。新丰江大坝上架设的监测系统为强震动台阵,相较于其他健康监测系统测点较少,因此该文选取新丰江大坝强震动台阵信号质量较优、受干扰小的测点,采用2014年7月5日的加速度数据,利用平均正规化功率谱法(ANPSD)、频域分解法(FFD)和协方差驱动的随机子空间(SSI-cov)3种频率识别方法对大坝的频率进行连续识别,并比较它们的优缺点。识别结果可用于观测和研究新丰江大坝水电机组运行与停机情况下,新丰江大坝模态频率的变化。
In order to study the influence of generators running status on frequency characteristics of Xinfengjiang dam, modal frequencies should be identified continuously from the monitoring data. Compared to other health monitoring systems, the strong motion monitoring system set up on Xinfengjiang dam has less measuring points. Therefore in this paper, we select some measuring points which have better signal and the frequencies of Xinfengjiang Dam were identified based on the acceleration data recorded on July 5, 2014. ANPSD, FDD and SSI--cov methods were used to identify the frequencies of Xinfengjiang dam and make a comparison. The identified results provide data to observe and study the variations of modal frequencies of Xinfengjiang Dam when the generators run or stop.
出处
《科技资讯》
2015年第35期100-102,105,共4页
Science & Technology Information
基金
中央高校基本科研业务费(ZY20150312)
中国地震局地震监测与减灾技术重点实验室
广东省地震预警与重大工程安全诊断重点实验室建设项目(2011A060901006)
广东省重大科技专项项目(2012A080102008)
