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Quantitative inner and outer bearing ring fault trend diagnosis method based on signal complexity

A diagnostic method and complex technology, applied in the direction of mechanical bearing testing, measuring devices, testing of mechanical components, etc., can solve problems such as complex internal structure and high failure rate

Inactive Publication Date: 2017-02-15
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 inner and outer bearing ring fault trend diagnosis method based on signal complexity
  • Quantitative inner and outer bearing ring fault trend diagnosis method based on signal complexity
  • Quantitative inner and outer bearing ring fault trend diagnosis method based on signal complexity

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Embodiment Construction

[0020] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments of the description

[0021] figure 1 It is a flowchart of the Protrugram 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.

[0022] Protrugram is a method of optimal frequency band selection based on the kurtosis of the envelope spectrum amplitude of the modulated signal. This method aims to select the optimal center frequency and bandwidth.

[0023] (1) First, FFT is carried out to the measured time signal to obtain its frequency spectrum;

[0024] (2) Secondly, select the bandwidth (the bandwidth is 3 times of the fault characteristic frequency) and the iteration step size (generally 1Hz, 100Hz or 1000Hz);

[0025] (3) Then select an interval [center frequency-bandwidth / 2, center frequency-bandwidth / 2] on the spectrum (real part) i...

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Abstract

The invention discloses a quantitative inner and outer bearing ring fault trend diagnosis method based on signal complexity. The method comprises steps that Lempel-Ziv complexity is an index for determining signal period components magnitude, Lempel-Ziv complexity index processing on bearing vibration signals with different-position and different-degree faults is carried out, the fault degree and the Lempel-Ziv complexity index value are discovered to be in a certain proportion, Lempel-Ziv complexity represents different gradually-increasing and gradually-decreasing trend rules according to different rolling inner and outer bearing ring fault positions, and thereby quantitative trend diagnosis on the bearing faults can be realized. For extracting the actually-measured vibration signal fault characteristics, a Protrugram algorithm is introduced to be in combination with the Lempel-Ziv complexity index. Through experiment data processing, effects of the quantitative rolling bearing diagnosis method based on Protrugram and Lempel-Zil on quantitative bearing trend diagnosis are verified.

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 Protrugram 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): G01M13/04
CPCG01M13/045
Inventor 崔玲丽姚天昌马春青
Owner BEIJING UNIV OF TECH
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