用于水电站振动信号的积分算法
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摘要
为解决传统频域积分对非平稳信号处理误差过大问题,根据水轮发电机组振动信号的特点,提出了一种利用EM D的自适应滤波特性对实测加速度信号频域积分方法的修正算法。首先,对振动信号进行频域积分,得到相对应的速度和位移时程数据;然后,利用EM D的自适应的分析能力,将时域数据分解成不同特征时间尺度的固有模态函数,并按环境噪声以及水电站信号的特征频率进行滤波处理。仿真试验表明,在3种方法中,该方法的相对误差最小,相关系数最大。将该方法应用于景洪水电站振动信号处理,积分所得数据符合实际振动状况。结果表明,该方法求速度和位移是可行的,能够对水电站振动信号进行处理。
To solve the obvious errors of the frequency-domain integration when dealing with the measured acceleration data,a modified algorithm is provided to use the EMD′s adaptive features for the frequency-domain integration of the measured acceleration signal,according to the traits of vibration signals of the hydro-generating unit.In the method,the frequency domain integral of the vibration signal is used to calculate the time history data about velocity and displacement.The time history data are divided into many intrinsic mode functions(IMFs) by the EMD′s adaptive features,and then these IMFs are filtered according to the environmental noise and the characteristic frequency of the signal of hydro-generating unit.The simulation results show that the relative error is minimal and the correlation coefficient is maximal.The result of processing vibration signals of Jinghong Hydropower shows that integration results accord with the facts.The above analyses conclude that the method is feasible for dealing with acceleration signal and is reliable for hydropower vibration signal post-treatment.
To solve the obvious errors of the frequency-domain integration when dealing with the measured acceleration data,a modified algorithm is provided to use the EMD′s adaptive features for the frequency-domain integration of the measured acceleration signal,according to the traits of vibration signals of the hydro-generating unit.In the method,the frequency domain integral of the vibration signal is used to calculate the time history data about velocity and displacement.The time history data are divided into many intrinsic mode functions(IMFs) by the EMD′s adaptive features,and then these IMFs are filtered according to the environmental noise and the characteristic frequency of the signal of hydro-generating unit.The simulation results show that the relative error is minimal and the correlation coefficient is maximal.The result of processing vibration signals of Jinghong Hydropower shows that integration results accord with the facts.The above analyses conclude that the method is feasible for dealing with acceleration signal and is reliable for hydropower vibration signal post-treatment.
引文
[1]刘万景,沈紫坪.水电机组振动监测装置的设置[J].水电站机电技术,1993,3:47-61.
[2]李建波,陈健云,林皋.相互作用分析中地震动输入长周期校正研究[J].大连理工大学学报,2004,44(4):550-555.
[3]钱振华,宋汉文.经验模态分解方法(EMD)研究综述[C]∥2005年上海市国际工业博览会第三届上海市“工程与振动”科技论坛.上海:同济大学电子音像出版社,2005.
[4]Huang N E,Long S R,Manli C W,et al.The empir-ical mode decomposition and the Hilbert spectrum fornonlinear and nonstationary time series analysis[J].Proc R Soc London Series A,1998(454):903-999.
[5]马震岳,董毓新.水电站机组及厂房振动的研究与治理[M].北京:中国水利水电出版社,2004:177-780.
[6]李小军.地震工程中动力方程求解的逐步积分方法[J].工程力学,1996,13(2):110-118.
[7]王济,胡晓.Matlab在振动信号处理中的应用[M].北京:中国水利水电出版社,2006:104-108.
[2]李建波,陈健云,林皋.相互作用分析中地震动输入长周期校正研究[J].大连理工大学学报,2004,44(4):550-555.
[3]钱振华,宋汉文.经验模态分解方法(EMD)研究综述[C]∥2005年上海市国际工业博览会第三届上海市“工程与振动”科技论坛.上海:同济大学电子音像出版社,2005.
[4]Huang N E,Long S R,Manli C W,et al.The empir-ical mode decomposition and the Hilbert spectrum fornonlinear and nonstationary time series analysis[J].Proc R Soc London Series A,1998(454):903-999.
[5]马震岳,董毓新.水电站机组及厂房振动的研究与治理[M].北京:中国水利水电出版社,2004:177-780.
[6]李小军.地震工程中动力方程求解的逐步积分方法[J].工程力学,1996,13(2):110-118.
[7]王济,胡晓.Matlab在振动信号处理中的应用[M].北京:中国水利水电出版社,2006:104-108.
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