Wind turbine generating set fault diagnosis method based on bispectral entropy
A technology for fault diagnosis of wind turbines, applied to measuring devices, instruments, and measurement of ultrasonic/sonic/infrasonic waves, etc., can solve the difficulty of analyzing its characteristic frequency, the difficult characteristics of wind turbine transmission system operation stability degradation, and the failure of system failures Diagnosis and other issues
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[0021] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.
[0022] Such as figure 1 As shown, the present invention provides a kind of wind power generating set fault diagnosis method based on bispectrum entropy, and it comprises the following steps:
[0023] (1) Use existing data acquisition equipment to collect vibration signals of wind turbines under normal operation, minor faults, moderate faults and severe faults x w (n)={x 1 ,x 2 ,...x N}, where N represents the number of data in each group, w represents the data group, w=1, 2, 3, 4, w=1 represents the normal operation state, w=2 represents the mild fault state, w=3 represents the medium severe fault state, w=4 represents severe fault state.
[0024] (2) Calculate all vibration signals x w (n) The fault characteristic band. The steps are as follows:
[0025] Ⅰ) Calculate all vibration signals x w The time-domain amplitude of each group of signal...
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