Rotary machine coupling fault diagnosis method based on SCA and FastICA
A technology for coupling faults and rotating machinery, applied in the testing, measuring devices, instruments, etc. of machine/structural components, which can solve problems such as errors and erroneous conclusions, and achieve the effect of effective extraction, improvement of signal-to-noise ratio, and noise reduction
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[0079] Example: figure 1 The simulation diagram of the experimental platform of the present invention is given.
[0080] The process is as follows:
[0081] Establish a noise-containing blind source separation model, and perform q times of cumulative processing on the low signal-to-noise ratio observation signal s(t);
[0082] Update the input signal s(t), calculate the effective average value of the noisy signal,
[0083] Equalize and smooth preprocess the signal;
[0084] Separation of blind source signals using FastICA;
[0085] Smooth the separated signal and observe the separation result;
[0086] Analyze signal characteristics and perform fault diagnosis.
[0087] more specific:
[0088] First: Use the acceleration sensor to test the rotating mechanical equipment to obtain its aliased coupling vibration signal;
[0089] Second: The observed signal is a low signal-to-noise ratio signal y(t), and a noise-containing blind source separation model is established;
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Abstract
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Application Information
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