Taking the multi-dimensional image information of rotating machinery vibration as the research object

this paper investigated the fuzzy morphology method of directly extracting and mining the texture feature in vibration parameter image of rotating machinery

and then presented a state parameter image identification method of rotating machinery based on fuzzy mathematical morphology and immune intelligence.Using the method of fuzzy mathematical morphology filter to implement image filter

this paper studied fuzzy morphology edge detection operator and extracted the edge texture feature based on the morphology gradient from the vibration parameter image of rotating machinery

and finally diagnosed and identified the image feature using the artificial immune algorithm.On the modeling of 600MWturbine rotor experimental bench

the rotor normal state

unbalanced fault

misalignment fault and steam exciting vibration were tested.The diagnosis result shows that the method can accurately obtain image feature and improve the diagnosis accuracy.