Study on the Damage Diagnosis of the Cantilevered Machine Tool Beam Based on BP Neural Network

Gang Tong; Xiao Fei Ding; Da Wei Wu

doi:10.4028/www.scientific.net/AMM.184-185.521

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 184-185Study on the Damage Diagnosis of the Cantilevered...

Study on the Damage Diagnosis of the Cantilevered Machine Tool Beam Based on BP Neural Network

Abstract:

Structural damage intelligent diagnosis is the detection and evaluation of the structure, to make sure whether there is damage, and to figure out the position and the depth of the damage. The appearance of the damage affects the dynamic properties of the structure and leads to the reduction of the natural frequency and the change of the vibration mode. This paper mainly focuses on the damage diagnosis of the cantilevered machine tool beam, which includes parameterized modeling and modal analysis to get five natural frequencies and five vibration modes of different positions and different depths of the damage. The BP neural network is trained with the data base to realize the intelligent diagnosis.