Rolling bearing health assessment and fault diagnosis method and monitoring system

A rolling bearing and fault diagnosis technology, which is applied in the direction of instruments, calculations, electrical digital data processing, etc., to achieve the effect of improving the accuracy of fault diagnosis

Active Publication Date: 2019-06-07
SHANDONG UNIV
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Problems solved by technology

[0003] Although the existing methods have also achieved certain effects, generally a large amount of

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  • Rolling bearing health assessment and fault diagnosis method and monitoring system
  • Rolling bearing health assessment and fault diagnosis method and monitoring system
  • Rolling bearing health assessment and fault diagnosis method and monitoring system

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[0031] It should be pointed out that the following detailed descriptions are all illustrative and are intended to provide further explanations for the application. Unless otherwise indicated, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs.

[0032] martingale-test is a martingale test.

[0033] SVM (Support Vector Machine) refers to a support vector machine, which is a common method of discrimination.

[0034] It should be noted that the terms used here are only for describing specific implementations, and are not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should also be understood that when the terms "comprising" and / or "including" are used in this specification, they indi...

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Abstract

The invention discloses a rolling bearing health assessment and fault diagnosis method and a monitoring system. The problem that in the prior art, a large amount of known data is needed or too much human experience intervention is needed to guarantee the monitoring effect is solved, and the effect of accurately detecting and recognizing bearing faults through online real-time analysis on bearing vibration signals is achieved. According to the technical scheme, the method comprises the following steps: acquiring a vibration signal of a bearing, and processing the vibration signal to obtain a spectrogram; establishing a graph model for the spectrogram; performing similarity comparison on adjacent matrixes generated by the graph model to calculate an abnormity degree, and making a decision onan abnormity degree index; setting a threshold value to carry out hypothesis inspection, and carrying out fault inspection on the bearing; And carrying out fault diagnosis when a bearing signal has afault.

Description

technical field [0001] The invention relates to the field of on-line monitoring of rolling bearing faults, in particular to a rolling bearing health assessment and fault diagnosis method and monitoring system. Background technique [0002] Rolling bearings are the basic components of rotating machinery, and their working status has a major impact on the safety of the entire equipment and even the entire production line. Therefore, its fault diagnosis is of great significance. However, the rolling bearing signal has the characteristics of nonlinearity and non-stationarity, and it is difficult to find the fault characteristics only from the time domain and frequency domain. The emergence of time-frequency methods (such as short-time Fourier transform, wavelet packet decomposition, etc.) has effectively made up for this deficiency. [0003] Although the existing methods have achieved certain effects, generally a large amount of prophetic data or too much human experience inte...

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Application Information

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IPC IPC(8): G06F17/50G06K9/62
Inventor 卢国梁张迪闫鹏
Owner SHANDONG UNIV
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