Local Fault Diagnosis Method of Rotating Machinery Based on Sparse Decomposition Optimization Algorithm
A technology of rotating machinery and optimization algorithms, which is applied in the testing of mechanical components, testing of machine/structural components, and instruments. The effects of time-consuming calculation, improved computing speed, and accelerated convergence
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[0060] This embodiment provides a method for diagnosing local faults of rotating machinery based on sparse decomposition optimization algorithm, such as figure 1 As shown, it is the overall implementation process; the specific algorithm steps of the method are as follows figure 2 shown. combine figure 1 , figure 2 , the present invention will be further described by taking the bearing with partial fault in the rotating machine as the research object. The bearing parameters are shown in Table 1:
[0061] model Pitch diameter Rolling element diameter Number of rolling elements Contact angle NUP311EN 85mm 18mm 13 0°
[0062] Table 1
[0063] The specific implementation steps of this embodiment are:
[0064] S1. Acquisition of vibration acceleration response signals of rotating machinery containing fault characteristic information;
[0065] Paste the piezoelectric acceleration sensor on the faulty bearing, connect the data acquisition syst...
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