| 摘要 |
A health index can be determined from vibration signatures arising out of an analysis of vibration by using a combination of frequency analysis (e.g. crest factor, side-band factor), analyses done in time domain and so on. The health index (HI) can thus be a function of one or more of these vibration signatures and a corresponding weighting factor. Where the Health Index is low, point 1, a frequency analysis of the vibration data shows that the wind turbine, or in this case a bearing component thereof, is healthy. At point 2, the Health Index has increased, and a frequency analysis of the vibration data shows significant damage to the component. At point 3, a further analysis of the vibration data shows that the condition of the component is worsening. At point 4, the Health Index has increased further, and a frequency analysis of the vibration data shows indicates that the bearing should be replaced. |
