Research on quantification method of fault deterioration based on 1.5-spectrum feature extraction method

Whether the large rotating electromechanical equipment running in safe and stable state has an important impact on the economy and society, so, this paper concerned on quantification method of fault deterioration based on 1.5-spectrum feature extraction method. Running stability deterioration feature extracting method based on higher-order cumulant diagonal slice has been discussed. Experiment data of varying degrees of deterioration under unbalance types of deterioration were collected from rotor test rig, and deterioration feature were extracted. The concept of frequency band mean energy based on 1.5-spectrum was proposed, and a quantification method based on this concept was proposed. 1.5 dimension frequency band mean energy was calculated to represent overall level of varying degrees of deterioration under unbalance types of deterioration, so, state deterioration sequence was obtained. The experiment shows that quantification method of fault deterioration is sensitive to the deterioration process of normal operation state changing to mild deterioration state; and it hastrend property to the overall deterioration process of normal operation state changing to severe deterioration state.