The Research And Application On Identification For Shaft Orbit Of Hydro-power Units

With the vigorous development of China’s hydropower industry, the percentageof the generating capacity in the power system is increasing, and more and more largecapacity units appeared. The security and stability of the hydropower units arebecoming increasingly important for the entire power grid. In the hydroelectricgenerating condition monitoring and fault diagnosis system research and developmentprocess, orbit as an important feature of the amount of hydropower units, visuallydisplay the actual movement of the rotor position, contains a wealth of unit failure andhealth information. The core path analysis help to understand the health status of theunit and timely failures and risks, reasonable repair and maintenance, and Ensure safeoperation of the unit.First hydropower units within the shaft orbit in the industry studies havesummarized the work discusses the failure of axis orbit turbogenerator units directlyor indirectly, the corresponding relationship, and detailed analysis of the core pathstatus quo and development trend of. Then introduced the core path harmonic waveletfiltering and purification principles and methods, research and analysis based onFourier description of the methods and theories of the promoter and invariantmoments theory identification of axis orbit determine the characteristics of the twomethods standard value, and were developed two methods of identification of axisorbit simulation experiment analysis, in addition to the two identification methods, thesuccessful completion of the identification of axis orbit module development project.Axis orbit around the hydropower units identify the problem, relying on thepower plant in Songjiang River and the White Mountains of intelligent power plantreconstruction project, Fourier descriptors and moment invariants theory axis orbitshape recognition, completed Songjiang River the fault diagnosis system ofidentification of axis orbit module design and development, provide the basis for thissystem expert subsystem failure reasoning provides a solid foundation for thehydroelectric power plant plant-wide condition-based maintenance.