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A Triple Simultaneous Fault Analysis Method Based on Spectrum Data of Double Measuring Points x,y

A fault analysis method and spectrum data technology, which are applied in the field of triple concurrent fault analysis based on X, Y double measuring point spectrum data, can solve the problems of incomplete feature extraction, difficulty in feature extraction for friction fault diagnosis of large units, etc. The effect of predicting problems, comprehensive features, and rapid calculation process

Active Publication Date: 2021-06-15
GUANGDONG UNIV OF PETROCHEMICAL TECH
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Problems solved by technology

[0005] Through the above analysis, the problems and defects of the existing technology are: the difficulty of feature extraction for friction fault diagnosis of large units, and the incomplete feature extraction

Method used

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  • A Triple Simultaneous Fault Analysis Method Based on Spectrum Data of Double Measuring Points x,y
  • A Triple Simultaneous Fault Analysis Method Based on Spectrum Data of Double Measuring Points x,y
  • A Triple Simultaneous Fault Analysis Method Based on Spectrum Data of Double Measuring Points x,y

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Embodiment 1

[0130] The implementation flow chart of the present invention is as figure 1 As shown, the specific implementation is as follows:

[0131] In step 1, use multi-measuring point collection equipment to collect the equipment and sparse the data, which specifically includes the following steps:

[0132] Step 1.1, install two probe points, and obtain the vibration dual-view signal of the large sliding unit through the two probe points. The data collection is 32 / rms, that is, 32 points are sampled for each revolution of the bearing, and the data of 32 revolutions is collected.

[0133] Step 1.2, after the probe collects data, discrete Fourier transform is performed on the two views respectively, the window size is 32*32=1024 points, and the adaptive threshold is set according to the signal condition to reduce the signal storage capacity and speed up the transmission. Its conversion formula is as follows:

[0134] Where n=0,...,N-1, N represents the data length.

[0135] Accordi...

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Abstract

The invention belongs to the technical field of fault detection, and discloses a triple concurrent fault analysis method based on X, Y dual measuring point spectrum data, which uses multi-measuring point acquisition equipment to collect equipment, and performs sparse processing on the collected data; The sparsely processed data of each measuring point is fused with wavelet hierarchical decomposition features and waveform features; the DCCA network of two measuring points is used to perform feature synchronization processing for consistent feature fusion, and the end-to-end multi-view The classifier is processed; the rotor unbalance signal of the unknown label is predicted, and the fault type is determined. The invention provides a new method for triple concurrent fault diagnosis of oil film whirl, rotor unbalance and oil film whirl concurrent faults, which can effectively extract gear fault feature information, and can effectively identify rotor unbalance and oil film whirl concurrent faults .

Description

technical field [0001] The invention belongs to the technical field of fault detection, and in particular relates to a triple concurrent fault analysis method based on spectrum data of X and Y double measuring points. Background technique [0002] At present, the structure of large-scale equipment is complex, the functions are perfect, and the internal parts of the equipment are closely connected, which makes the production process high-speed and large-scale, which also makes the failure of large-scale equipment cause huge losses, which also increases It reduces the difficulty of fault diagnosis for mainframe equipment. [0003] The types of faults that often occur in large-scale equipment are oil film whirl faults, friction faults and rotor unbalance faults. These three account for the majority of mechanical faults. Therefore, how to diagnose mechanical equipment faults is among these three faults. The specific fault will play a great role in fault diagnosis and rapid repa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06T7/00
CPCG06T7/0004G06F18/253G06F18/24
Inventor 荆晓远王许辉陈润航张清华成明康姚永芳孔晓辉
Owner GUANGDONG UNIV OF PETROCHEMICAL TECH
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