Study On Dynamics And Fault Diagnosis Method Of Rotating Machinery Based On General Fractal Theory

In modern society, it is an important problem of state control and fault diagnosis of mechanical equipment, which has being paid more and more attention to. Many scholars have made a lot of jobs on it, and put forward some new methods of fault diagnosis. It is the new trend in academic circle of the world that fractal theory has been applied in the field of machinery fault diagnosis. With fractal theory, the running state of the system can be analyzed not qualitatively but also quantitatively, so the faults of complex machinery system can be diagnosed.In this paper, based on the fractal theory and multi-fractal theory, fault diagnosis and identification of rotating mechanism have been studied through calculation and analysis of general dimension, and general dimension is regarded as fault feature. On the base of the vibration theory, the rotating mechanism of mass unbalance is studied by vibration analysis. And the intrinsic frequency, vibration form and vibration response are done. The rotating mechanism of the loose of supporting system is counted preparatorily. Simulating the rotating model with finite element method, we work out limited amounts of intrinsic frequency and vibration form of the rotating mechanism of mass unbalance and the unity of the loose of supporting system and mass unbalance, and draw the curves of the transient analysis. The above results from finite element method are computed by general dimension computing program, and their charts are painted based on general dimension. And in the series of general dimension, the method of general dimension furthest distance is used to define the fault sensitive dimension of system state.Vibration signal is gained through the vibration testing of rotating model. It is founded that the model space samples storeroom sets General dimension, chart and fault sensitive dimension as feature group. It is brought forward that all kinds of faults can be quantitatively distinguished with sensitive dimension method, and the results of diagnosis are fine. General dimension furthest correlation coefficient method and general dimension seriessingle value approach is applied in not only the single fault of system state but also the coupling fault of complicated system state so that they can be diagnosed, classified and identified.