Gear failure diagnosis method based on adaptive genetic algorithm and SOM (Self-Organizing Map) network
A genetic algorithm and fault diagnosis technology, applied in machine gear/transmission mechanism testing, calculation, computer parts, etc., can solve problems such as poor convergence, poor reliability, and limited reliability, and achieve the effect of improving accuracy and reliability
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[0086] The acceleration sensor is used to collect the vibration signal data of the gears in the four states of gearbox transmission system normal, tooth surface wear, tooth surface scratches and broken teeth. The collected 300 sets of gear type data are divided into 200 sets of training data and 100 sets of testing Data, use the trained SOM network to diagnose the test data, Figure 4 Flow chart for SOM network fault diagnosis. Part of the training data of the SOM network is shown in Table 1. The diagnosis result of SOM network is shown in Table 2.
[0087] Table 1 Part of the training data of the SOM network
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[0089] Table 2 Diagnosis results of SOM network
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[0092] According to the data in Table 2, when the number of training steps is 10, the training data 1 and 2 are divided into one category, and the 3, 4, 5, 6, 7, and 8 are divided into another category. The SOM network performs preliminary data Classification, when the number of training steps is 1...
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