摘要
为研究去学水电站厂房振动系统的混沌特性,明晰振动系统产生混沌现象的原因,采用饱和关联维数和最大Lyapunov指数两种方法,定量分析水电站厂房振动响应的混沌特性。利用完备总体经验与奇异值联合模态分解(简称CEEMDAN-SVD)提取代表不同成分的分量信号,计算不同分量的混沌特性指标,分析水电站厂房产生混沌现象的原因。结果表明,水电站厂房振动系统具有混沌特性,且尾水脉动是水电站厂房振动系统产生混沌特性的主要原因,而机组运行的振动激励掩盖了部分尾水脉动的混沌特征。研究结果为优化水电站厂房机组的开度与开启方式提供了理论基础,为监测及预警水电站厂房的运行状态提供了新思路。
In order to verify the existence of chaos in the operation process of hydropower plant and clarify the causes of chaos in vibration system,this paper takes Quxue hydropower station as the research object,and verifies the chaotic characteristics of vibration response of hydropower plant by using saturated correlation dimension and maximum Lyapunov exponent.The complete total experience and singular value joint mode decomposition are used to extract the component signals representing different components,calculate the chaotic of different components,and study the causes of chaotic characteristics of hydropower plant.The results show that the vibration system of powerhouse of hydropower plant has chaotic characteristics,and the tail water flow pulsation is the main reason for the chaotic characteristics of the vibration system of hydropower plant,and the vibration excitation of unit operation conceals part of the chaotic characteristics of the flow pulsation.The results provide a theoretical basis for optimizing the opening degree and starting mode of hydropower plant units,and provide a new idea for monitoring and early warning the operation state of hydropower plant.
作者
周志琦
程梦然
职保平
张建伟
ZHOU Zhi-qi;CHENG Meng-ran;ZHI Bao-ping;ZHANG Jian-wei(Kaifeng Structural Safety and Disease Prevention Engineering Technology Research Center,Kaifeng 475000,China;Yellow River Conservancy Technical Institute,Kaifeng 475004,China;School of Water Conservancy,North China University of Water Resources and Electric Power,Zhengzhou 450046,China;Henan Inter Basin Regional Water Diversion Operation and Ecological Security Engineering Research Center,Kaifeng 475000,China)
出处
《水电能源科学》
北大核心
2022年第4期116-120,共5页
Water Resources and Power
基金
国家自然科学基金项目(51679091,51709125)
西藏自治区重点研发计划(XZ201901-GB-15)
河南省科技攻关计划(212102310479)
广东省水利科技创新项目(2020-18)
广州市科技计划(2020-ky34)。