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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.

Inactive Publication Date: 2006-05-24
SHENYANG POLYTECHNIC UNIV
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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

Method used

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  • Low-speed heavy-load rotary machinery fault diagnosis method
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  • Low-speed heavy-load rotary machinery fault diagnosis method

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Embodiment Construction

[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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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...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/00G01M7/00G01M7/02
Inventor 陈长征王楠费朝阳周勃孙长城
Owner SHENYANG POLYTECHNIC UNIV
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