Fault Diagnosis Method of Rotating Machinery Based on Improved Fourier Transform

Abstract

The invention discloses a fault diagnosis method for rotating machinery based on improved Fourier transform, which obtains discrete signals at the current moment, performs Fourier transformation on the above discrete signals, and performs local signal observation on the transformed spectrogram, and records the required The frequency of the detected local signal; and convert it into a signal sequence; collect the vibration signal; obtain the characteristic frequency of each part of the bearing; sort, and perform kfs processing on the minimum value; for the sequence obtained in step 4, transform it into a frequency Domain, and will be segmented according to the length of k0fs, to obtain the maximum amplitude Fm of each discrete point in the segment, the difference ΔF between the frequency corresponding to the maximum amplitude and the frequency corresponding to the amplitude drop of 2mm; the Fm and ΔF obtained in step 8 Form a table and compare it with the eigenfrequency value obtained in step 5. When a certain section of Fm and ΔF is close to the above eigenfrequency value, it is determined that the component is faulty, and a simple and preliminary analysis of the bearing fault can be performed.

Description

technical field [0001] The invention relates to the field of bearing fault detection and specifically designs a fault diagnosis method for rotating machinery based on improved Fourier transform. Background technique [0002] At present, the fault diagnosis technology of medium and high-speed rotating machinery is becoming more and more mature, especially the application of vibration method is very common and has been widely supported by the market. [0003] Pharmaceutical machinery belongs to the category of rotating machinery. In recent years, with the promulgation of the new version of GMP, the country has vigorously developed pharmaceutical and auxiliary machinery, making the need for fault diagnosis very urgent. For methods based on vibration signal analysis and processing, Fourier transform plays an important role, such as frequency domain analysis methods. However, the Fourier transform also has some disadvantages. This algorithm is a global analysis method. The resol...

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Problems solved by technology

However, the Fourier transform also has some disadvantages. This algorithm is a global analysis method. The resolution of the Fourier transform is fixed at a given sampling time (rather than the sampling rate). The resolution effect of the local frequency domain signal is relatively poor, and the spectrogram has a local display effect. poor

On the contrary, if high resolution and high sampling rate are required for local signals, the Fourier transform data will become large and redundant, which will cause a certain burden on storage space

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