Low-speed heavy-load rotary machinery fault diagnosis method
A technology for rotating machinery and fault diagnosis, which is applied in the testing of mechanical components, testing of machine/structural components, and measuring devices. It can solve problems such as poor vibration analysis, inability to perform, and inability to motivate, and achieve small economic losses.
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[0016] attached figure 1 For the data acquisition process, the stress wave signal is first collected by the stress wave sensor, and the collected stress wave signal is input to the gain of the preamplifier, the signal is amplified by the main amplifier, and then input to the analog-to-digital converter and display, and passed through the analog-to-digital converter. The stress wave signal is converted into a digital signal, and finally the obtained signal is analyzed by wavelet.
[0017] attached figure 2 It is a specific implementation plan for applying this method to low-speed rotating machinery fault diagnosis. Here, it mainly solves problems such as stress wave data acquisition, noise suppression, signal feature extraction, and fault identification and location. Wavelet analysis is to select the appropriate wavelet basis function according to the signal characteristics, decompose the fault signal in multiple scales, and extract the fine features of the fault signal from ...
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