Analysis Of Hydraulic Turbine Vibration Signal Based On LabVIEW

At present,China’ s hydropower industry is in a boom ing stage,hydropower is highly concerned with its low cost,flexible scheduling,renewable,clean,rich resources and some other advantages.As the installed ca pacity and size of turbines are increasing rapidly,all sorts of unit faults becom e frequently and bring a lot of problem s to the vibration.The vibration of turbine is an important factor which affects its safe and stable operation,vibration signals of turbine cons ist of rich fault feature inform ation.Therefore,it is of great pract ical significance to test and analyze the vibration signal of the hydroelectric generating set to realize the fault detection and investigation.There are m any methods of vibratio n signal analysis,Empirical Mode Decomposition method is an adaptive signa l analysis m ethod,by decom posing the non-stationary fault signal,the weak fault signal is decom posed and the fault diagnosis is realized.Compared with the tradition al time-frequency analysis methods,it is more suitable for the analysis of non-stationary and nonlinear signals.Therefore,this method has been widely used in the field of mechanical fault diagnosis.With the rapid developm ent of Virtual Instrument technology in recent years,the idea of “the software is the instrument” has developed into a new idea.LabVIEW is a graphical programming software from National Instruments,it has a good man-machine interface,and has been widely used in m any fields.Based on the basic princ iple of EMD algorithm,a secondary development of LabVIEW was made in this paper,EMD module was established based on LabVIEW,which provid e an ef fective tool for vibration fault signal analysis system.The vibration test data of model hydraulic turbine and the Xida Hydropower Station were analy zed,experimental results show that EMD algorithm can be well im plemented in the LabVIEW environment,which can effectively diagnose the fault information of hydroelectric generating set.