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Intelligent diagnosis method for bearing corrosion

An intelligent diagnosis and bearing technology, applied in mechanical bearing testing, neural learning methods, biological neural network models, etc., can solve problems such as safety accidents, scrapping, and affecting accuracy levels

Inactive Publication Date: 2018-03-23
GUILIN UNIV OF ELECTRONIC TECH
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  • Application Information

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Problems solved by technology

Bearing corrosion will affect its accuracy level, reduce service life, or even be scrapped, and even cause safety accidents

Method used

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  • Intelligent diagnosis method for bearing corrosion
  • Intelligent diagnosis method for bearing corrosion
  • Intelligent diagnosis method for bearing corrosion

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Embodiment Construction

[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific examples and with reference to the accompanying drawings.

[0027] An intelligent diagnosis method for bearing corrosion, specifically including the following steps:

[0028] Step 1. Pre-collect the vibration signals of bearings under various fault conditions and the vibration signals of bearings under normal conditions, and divide these vibration signals into two categories, one is used as a training sample, and the other is used as a test sample;

[0029] Step 2, extracting training features from the training samples in step 1; namely

[0030] Step 2.1, first extract the time-domain characteristic parameters from the time domain of the vibration signal; then perform FFT transformation on the vibration signal to obtain spectrum information, and extract the frequency-domain character...

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Abstract

The invention discloses an intelligent diagnostic method for bearing corrosion, which preliminarily acquires vibration signals of a bearing under various different fault conditions and vibration signals of the bearing under the normal condition, performs feature extraction on the vibration signals to train an RBF neural network, and constructs an intelligent classification model for corrosion. Thereal-time fault diagnosis of the bearing can be achieved by using the rust intelligent classification model.

Description

technical field [0001] The invention relates to the technical field of bearing fault diagnosis, in particular to an intelligent diagnosis method for bearing corrosion. Background technique [0002] Bearings are a standard part widely used in various types of machinery. The vast majority of bearings are made of metal materials, and the corrosion of metal materials in the atmospheric environment is a common problem. Bearing corrosion will affect its accuracy level, reduce service life, or even be scrapped, and even cause safety accidents. Therefore, it is of great significance in engineering to study and establish a simple and effective bearing corrosion diagnosis and classification model. Contents of the invention [0003] The invention provides an intelligent diagnosis method for bearing corrosion, which can realize the monitoring and diagnosis of bearing corrosion. [0004] In order to solve the above problems, the present invention is achieved through the following te...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/08G01M13/04
CPCG06N3/08G01M13/045G06F2218/08G06F18/21
Inventor 何水龙李慧王衍学蒋占四訾艳阳
Owner GUILIN UNIV OF ELECTRONIC TECH