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Quantitative trend diagnosis method for failures of inner ring and outer ring of bearing

A diagnostic method, a technology for inner and outer rings, applied in the testing of mechanical bearings, measuring devices, and testing of mechanical components, etc., can solve the problems of complex internal structure and high failure rate

Inactive Publication Date: 2017-01-04
BEIJING UNIV OF TECH
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Problems solved by technology

As the most important part inside the gearbox, the rolling bearing has a complex internal structure and often operates under high-speed and heavy-load conditions, and has a high failure rate

Method used

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  • Quantitative trend diagnosis method for failures of inner ring and outer ring of bearing
  • Quantitative trend diagnosis method for failures of inner ring and outer ring of bearing
  • Quantitative trend diagnosis method for failures of inner ring and outer ring of bearing

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Embodiment Construction

[0015] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments of the description

[0016] figure 1 It is a flowchart of the Sparsogram and Lempel-Ziv algorithm of the present invention. The principle of the fault quantitative diagnosis method will be described in detail below in conjunction with the flow chart.

[0017] (1) Perform i-level wavelet packet decomposition on the original signal of the same type of rolling bearing.

[0018] (2) Reconstruct all node coefficients of the i-th layer of the wavelet packet with the same length as the original signal, and use the coefficients of each wavelet packet node as the real part, and use the Hilbert transform of the wavelet packet node coefficients as the imaginary part to construct the analysis signal . Then, the modulus of the analysis signal is taken to obtain the envelope signal of the analysis signal. Then, calculate the power spectrum of the envelope s...

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Abstract

The invention discloses a quantitative trend diagnosis method for failures of an inner ring and an outer ring of a bearing. The method is a quantitative trend diagnosis method based on Sparsogram and Lempel-Ziv. For the current study situation that it is difficult to quantitatively evaluate the bearing failure development trend and determine failure positions, a failure mechanism of the bearing is studied, and the quantitative trend diagnosis method based on Sparsogram and Lempel-Ziv is put forward. Actually-measured signals are denoised through a Sparsogram algorithm, and characteristic signals are extracted. Lempel-Ziv complexity indexation treatment is conducted on denoised signals. It is found through study that the failure degree is in a certain proportional relation with the Lempel-Ziv complexity index value; meanwhile, due to the fact that the failure positions of the inner ring and the outer ring of the bearing are different, Lempel-Ziv complexity distinguishing has different gradually increasing and gradually decreasing trend rules, and thus the failure positions and failure sizes are judged.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis, and relates to a quantitative trend diagnosis method for bearing inner and outer ring faults, in particular to a quantitative trend diagnosis method based on Sparsogram and Lempel-Ziv. Background technique [0002] With the advancement of science and technology and the development of industry, process industry machinery and equipment are increasingly developing in the direction of large-scale, high-speed, systematization and automation, which requires higher and higher stability of equipment operation status. In order to meet the production requirements, the functions of the key equipment structure are becoming more and more complex. Coupled with the harsh and changeable working environment, it will gradually age during long-term operation, and the potential for failure will increase accordingly. Once the key components of the equipment break down Failure, it may destroy the stable operat...

Claims

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Application Information

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IPC IPC(8): G06F17/50G01M13/04
CPCG01M13/045G06F30/20
Inventor 崔玲丽姚天昌马春青
Owner BEIJING UNIV OF TECH
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