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作 者:赖发彬 LAI Fa-bin(Chongqing Datang Intenational Pengshui Hydropower Development Co.,Ltd.,Chongqing 409612,China)
机构地区:[1]重庆大唐国际彭水水电开发有限公司,重庆409612
出 处:《水电站机电技术》2025年第3期1-4,21,135,共6页Mechanical & Electrical Technique of Hydropower Station
摘 要:对水电机组而言,其安全稳定运行至关重要。水电机组振动摆度的影响因素众多,有水力、机械和电磁3种不平衡因素,而全水头试验可以一定程度地反映水电机组的振动区特性,因此构建全水头三维图和生成振动区十分重要。获取水电机组的历史运行数据或依据全水头稳定性试验数据,结合有功功率、水头等工况参数,以及振动、摆度、压力脉动等稳定性测点数据,通过大数据技术处理和人工智能算法得到水电机组的全水头三维模型和振动区精细划分,可对后续水电机组智能化运行提供参考,最大程度地避免长时间在振动区运行,提高机组的运行效率及延长其设备的健康寿命。The safe and stable operation of hydroelectric generators is of paramount importance.Many factors influence the vibration and runout of these generators,including three unbalancing factors:hydraulic,mechanical,and electromagnetic.The full-head test can help identify the characteristics of the vibration zones of hydroelectric generators.Therefore,it is essential to create three-dimensional diagrams that represent full head conditions and clearly delineate the vibration zones.This paper gathers historical operation data from hydroelectric generators as well as data from full-head stability tests.It analyzes operating parameters such as active power and water head,along with stability measurements such as vibration,runout,and pressure fluctuation.By leveraging big data technology and artificial intelligence algorithms,this study constructs a full-head three-dimensional model and precisely demarcates the vibration zones for hydroelectric generators.This not only provides a reference for the future intelligent operation of hydroelectric generators but also minimizes long-term operation within vibration zones,ultimately enhancing generator operation fficiency and extending equipment healthy lifespan.
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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