Method for recognition of bump-scrape fault of rotor
A fault identification and rotor technology, which is applied in special data processing applications, complex mathematical operations, measuring devices, etc., can solve problems such as decomposition frequency band overlap, and achieve the effects of improving accuracy, high calculation precision, and ease of use
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Embodiment 1
[0039] This embodiment mainly simulates and verifies the correctness of the method of the present invention to decompose the frequency band separation signal, and constructs a simulation signal x(t) composed of three harmonics to simulate the fundamental frequency and its multiple of the vibration signal when the rotor system has a rubbing fault. Frequency components:
[0040] x(t)=sin(2πf 1 t)+sin(2πf 2 t+0.5π)+sin(2πf 3 t)
[0041] The frequencies of the harmonic signal components in x(t) are respectively f 1 = 25Hz, f 2 = 50Hz, f 3 = 200Hz. X(t) is discretized and sampled with a sampling frequency of 2000Hz, and the data length is 1024.
[0042] Step 1: Calculate the second-generation wavelet predictor and updater
[0043] The second generation wavelet predictor P=[p(1), p(2), p(3), ..., p(N)] and updater N and are the number of predictor and updater coefficients, respectively, N ∈ Z, and The calculation method is as follows:
[0044] P is obtained by
[0...
Embodiment 2
[0081] This embodiment mainly verifies the correctness of engineering fault diagnosis of the method of the present invention. A 50MW turbogenerator set in a thermal power plant consists of a high-pressure cylinder, a low-pressure cylinder, a generator and an exciter. The rated speed of the unit is 3046.8r / min, that is, the power frequency is 50.78Hz. After the unit was overhauled once, it was found that the bearing bush of the high-pressure cylinder vibrated a lot when it was put into operation. In order to find out the cause of the failure, the vibration signal is collected at a sampling frequency of 2000Hz in the vertical direction of the bearing bush of the high-pressure cylinder 2#, and the data length is 1024.
[0082] Step 1: Calculate the second-generation wavelet predictor and updater
[0083] The second generation wavelet predictor P=[p(1), p(2), p(3), ..., p(N)] and updater N and are the number of predictor and updater coefficients, respectively, N ∈ Z, and ...
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