[1]蔡喜昌,冯文嵛,林杰胜,等.大型抽水蓄能电站水轮机组机械振动故障判别模型[J].机械与电子,2024,42(07):64-68.
　CAI Xichang,FENG Wenyu,LIN Jiesheng,et al.Fault Diagnosis Model for Mechanical Vibration of Hydraulic Turbine Units in Large Pumped Storage Power Stations[J].Machinery & Electronics,2024,42(07):64-68.
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大型抽水蓄能电站水轮机组机械振动故障判别模型()

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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

Title:: Fault Diagnosis Model for Mechanical Vibration of Hydraulic Turbine Units in Large Pumped Storage Power Stations

Author(s):: CAI Xichang ; FENG Wenyu ; LIN Jiesheng ; LIN Yongjun ; LI Donglu; ( CSGES Operation Management Branch Company , Qingyuan 513207 , China )

Keywords:: large pumped storage power station ; hydraulic turbine unit ; mechanical vibration ; fault identification ; signal processing

摘要:: 为了提高大型抽水蓄能电站水轮机组机械振动故障判别精度,以及时对其进行维修,保证抽水蓄能电站水轮机组设备安全运行,延长机械使用时长,提出了一种水轮机组机械振动故障判别方法。利用无量纲处理水轮机组机械信号,去除冗余信号,确定振动参数加权分布,设置故障特征量权值,构建抽水蓄能电站水轮机组分布式健康函数,完成水轮机组机械振动故障判别方法设计,检测水轮机组是否为正常状态,实现机械振动故障判别。实验表明,所提模型可以准确判别故障振动,确保后续及时维修,提高工作效率。

Abstract:: In order to improve the accuracy of mechanical vibration fault diagnosis for hydraulic turbine units in large pumped storage power plants so as to timely repair them , ensure the safe operation of hydraulic turbine equipment in pumped storage power plants , and extend the service life of machinery , a method for mechanical vibration fault diagnosis of hydraulic turbine units is proposed.By using dimensionless processing for the mechanical signals of the hydraulic turbine unit , redundant signals are removed. Then , the weighted distribution of vibration parameters is determined , and the weight of fault characteristic quantity is set.Next , a distributed health function for the hydraulic turbine unit of pumped storage power station is constructed.With the above steps , the design of the mechanical vibration fault discrimination method for the hydraulic turbine unit is completed , and the normal status of the hydraulic turbine unit is detected , so as to achiev mechanical vibration fault diagnosis.Through experiments , it is proved that the proposed model can accurately identify fault vibrations , ensure timely follow up maintenance , and improve work efficiency.

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备注/Memo:: 收稿日期: 2023-05-06
基金项目:南方电网基金项目( 02910020220301030200016 )
作者简介:蔡喜昌 ( 1981- ),男,广东茂名人,学士,工程师,研究方向为抽水蓄能电站运行维护;冯文嵛 ( 1990- ),男,广西崇左人,学士,工程师,研究方向为抽水蓄能电站运行维护;林杰胜 ( 1995- ),男,广东惠来人,学士,助理工程师,研究方向为抽水蓄能电站运行维护;林泳骏 ( 1998- ),男,广东高州人,学士,助理工程师,研究方向为抽水蓄能电站运行维护;李东璐 ( 1992- ),男,河南南阳人,学士,助理工程师,研究方向为抽水蓄能电站运行维护。

更新日期/Last Update: 2024-08-30