Planet wheel fault recognition method based on sensitive measure point data fusion
A technology for fault identification and measurement point data, applied in fuzzy logic-based systems, neural learning methods, biological neural network models, etc. Overcome the effect of inconsistencies in fault susceptibility
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[0017] The present invention will be described in further detail below in conjunction with accompanying drawing: figure 1 Shown, flow process of the present invention is as follows:
[0018] 1) Select three measuring points on the planetary gearbox, two measuring points at the input end are selected to be arranged at 90° on the outside of the end cover, respectively measure the vibration in the vertical radial direction and the horizontal radial direction, and one measuring point is selected at the output end , to measure the vibration signal in the vertical direction;
[0019] 2) Use the historical data to calculate the two characteristic parameters of the effective value of the filtered signal (FRMS) and the normalized positive difference spectrum (NSDS), and form a feature set as the input of the classification algorithm based on ANFIS to train the classification algorithm, in which the historical data The fault category is equal to the classification number of the classif...
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