Identification on Vortex Rope in Francis Turbine Draft Tube Based on Convkurgram

被引:4
作者
Wang, Huan [1 ,2 ]
Hou, Yaochun [1 ,2 ]
Ma, Guangfei [3 ,4 ]
Wu, Guangkuan [5 ]
Wang, Da [6 ]
Huang, Bin [7 ]
Wu, Peng [8 ]
Wu, Dazhuan [1 ,2 ]
机构
[1] Zhejiang Univ, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China
[2] Zhejiang Univ, Coll Energy Engn, Hangzhou 310027, Peoples R China
[3] Minist Water Resources, Stand & Qual Control Res Inst, Hangzhou 310027, Peoples R China
[4] Minist Water Resources, Hangzhou Machine Design & Res Inst, Hangzhou 310027, Peoples R China
[5] Xian Univ Technol, Inst Water Resources & Hydroelect Engn, Xian 710048, Peoples R China
[6] Hangzhou Inst Test & Calibrat Qual & Technol Supe, Hangzhou 310027, Peoples R China
[7] Zhejiang Univ, Ocean Coll, Zhoushan 316021, Zhejiang, Peoples R China
[8] Zhejiang Univ, Inst Adv Technol, Hangzhou 310027, Peoples R China
关键词
Hydraulic systems; Deconvolution; Finite impulse response filters; Electron tubes; Demodulation; Hydraulic turbines; Vibrations; Blind deconvolution; Convkurgram; demodulation; multiple frequency bands enhancement; vortex rope recognition; MINIMUM ENTROPY DECONVOLUTION; CORRELATED KURTOSIS DECONVOLUTION; BLIND DECONVOLUTION; FAULT-DIAGNOSIS; DEMODULATION; KURTOGRAM; NORM; BAND;
D O I
10.1109/TIM.2022.3195252
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Francis turbine is a core energy conversion part and low-frequency vibrations caused by unsteady vortex rope in the draft tube may damage the unit through resonance. Therefore, a more comprehensive assessment and monitoring of the status of Francis turbine is of great significance for unit stability. In this hydraulic machinery, mechanical impulses and hydraulic excitation are coexisting. The former manifests as a narrow low-frequency band with high kurtosis, while the latter represents a wide high-frequency band with energy associated with the vortex rope. Based on that, a novel method coined Convkurgram is proposed to suppress the extreme high kurtosis mechanical components and extract the hydraulic carrier wave efficiently. Besides, it takes multiple information frequency bands into consideration in case of contamination waves exist. Finally, the method is evaluated by means of actual vibration signals collected from the hydroelectric generating unit under normal and cavitation conditions. The results show that the proposed method recognizes the characteristic frequency bands of mechanical components and hydraulic carriers as well as extracts the shaft frequency and blade passing frequency successfully.
引用
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页数:14
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