| Oil-whirl failure is one of the common faults of the large power plant units operation. Once the fault happened, the amplitude will increase rapidly, then destroyed the normal operation condition of the units, what’s worse, it can lead the parts failure of the units and cause great economic loss. Understanding the oil-whirl failure Accurately and painstaking is of great importance to the safety and reliability of the units, reducing the economic losing and prevention of the sudden accident. Reviewing a large amount of oil-whirl failure cases, this paper studies the faults causes、the solving measures、the faults vibration characteristics、the faults diagnosis and the vibration trend prediction deeply.First of all,this paper introduced the generally used supporting-bearing types of the large power plants、working principle of the bearing and the formation conditions of the bearing oil films, then introduced the self-excited vibration principles and the oil-whirl fault principles. According to a large amount of the oil-whirl failure cases, this paper summarized the oil-whirl failure causes and the corresponding solving measures, and analyzed the feedback mechanism of the oil-whirl failure causes through the system dynamic method. This paper also analyzed the failure characteristics of the oil-whirl failure in detail, including failure axis orbit、faults vibration frequency、displacement transformation trend of the faults vibratio、the occurred displacement of the faults、the relationship of the faults and the operation parameters and the other characteristics of the faults. Combining the failure characteristics of the other low-frequency vibration, I founded the diagnosis process. Finally, this paper introduced the prediction method of the Volterra adaptive filter.Based on the oil-whirl accidental data,I verified the model. The prediction process included signal de-noise, phase space reconstruction of the time sequence and the Volterra adaptive filter prediction. |
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