Low-speed heavy-load rotary machinery fault diagnosis method

Abstract

Through sensor of stress wave, the invention picks up signal of stress wave of malfunction in early stage. The invention mainly solves issues of data acquisition for stress wave, noise suppression, feature extraction of signal, and fault recognition and position. Based on signal character, wavelet analysis selects suitable wavelet basis function, and carries decomposition of fault signal in multiple scales. Reconstructing waveform and spectrogram from each decomposition in different scale picks up minute character so as to determine type of fault and put forward scheme of treatment. Thus, the invention reduces economic loss to minimum.

Description

Technical field: [0001] The invention relates to a method for diagnosing a fault of a rotating machine, in particular to a method for diagnosing a fault of a low-speed, heavy-duty rotating machine. Background technique [0002] The speed of low-speed rotating machinery is generally lower than 600rpm per minute (600 revolutions per minute). It is a type of machinery between static load engineering structures and high-speed rotating machinery. It is widely used in wind power generation, metallurgy, construction, pharmaceuticals, sewage treatment and In industries such as bioengineering, once a failure occurs, the loss will be huge. For example, there have been more than ten serious accidents in large-scale rolling mills in my country in recent years, with losses of hundreds of millions of yuan, mainly caused by vibrations such as self-excited vibration and broken shafts, and equipment defects. Tower cranes in construction companies often break and collapse. The mechanical syst...

AI Technical Summary

Problems solved by technology

[0004] (2) The low-frequency analysis is limited by the measuring equipment. Due to the low speed, the frequency of the fault vibration signal is very low

The high-pass filter of the sensor will filter out the frequency below 3Hz as noise, coupled with the influence of environmental noise, making the vibration analysis effect poor or even impossible;

[0005] (3) The transient problem of the impact fault, the interval of each fault impact is long, and it is difficult to accurately detect the fault signal by using the impact method;

[0006] (4) The frequency of the impulse response generated by the fault point is low and cannot excite higher frequency components

[0007] Although some attempts have been made, vibration diagnosis of low-speed rotating machinery is difficult to achieve due to the above limitations

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