A multi-structuring elements edge detection method based on gray-scale morphology of parameter image for rotating machinery

The study subject of this paper is rotating mechanical parameter image, multi-structuring elements edge detection method based on gray-scale morphology, and edge detection operator is brought forward, which is suit to detect parameter image for rotating machinery. The 3d vibration parameter image are obtained from rotor´s normal state, fault of unbalance, misalignment, steam exciting vibration and bearing pedestal looseness which are examined on the modeling of 600 MW turbine rotor experimental bench. These 3d image of different faults are pretreated and transformed to 2d gray-scale image, then their edge are detected with multi-structuring elements edge detection operator constructed in this paper. The result shows that this method can effectively filter out the noise of parameter image and obtain high-quality edge features from the failure image.