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Method of detecting life state of spatial rolling bearing based on vibration-sensitive time-frequency characteristics

A time-frequency feature, rolling bearing technology, applied in the field of life state detection of space rolling bearings, can solve problems such as high-dimensional classification and recognition, and achieve the effects of enhanced representation, good application effect, and easy pattern recognition.

Inactive Publication Date: 2015-07-29
CHONGQING JIAOTONG UNIVERSITY
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Problems solved by technology

[0004] In view of this, the object of the present invention is to provide a method for detecting the life state of space rolling bearings based on vibration-sensitive time-frequency features, aiming at the sensitivity of vibration time-frequency domain characteristics to the life state of space rolling bearings and the fact that the dimension of the life state feature set is too high. The problem that is conducive to classification and identification is proposed, and the solution is proposed. This method can accurately identify the life state of space rolling bearings

Method used

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  • Method of detecting life state of spatial rolling bearing based on vibration-sensitive time-frequency characteristics
  • Method of detecting life state of spatial rolling bearing based on vibration-sensitive time-frequency characteristics
  • Method of detecting life state of spatial rolling bearing based on vibration-sensitive time-frequency characteristics

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Embodiment

[0053] Step 1: Receive the vibration signals of multiple sets of space rolling bearings under the three life states to be analyzed. The life states are shown in Table 2. The other conditions are the same during the operation of the bearing. The greater the load, the more serious the wear of the bearing, that is, the wear degree of the three life states is T1

[0054] Table 2 Bearing Life Status

[0055]

[0056] The vibration signals of aerospace rolling bearings in three life states are collected under the working condition of rotating speed of 1000 rpm and axial load of 2 kg. The sampling frequency is 25600 Hz and the sampling length is 102400 points. Six vibration signals (the first 2048 points) are obtained as figure 2 shown.

[0057] Step 2: For the 6 vibration signals, each vibration signal is divided into 50 groups with 2048 points as a group, that is, there are 100 groups of vibration signals in each state, and 10 groups of them are randomly selected as tra...

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Abstract

The invention relates to a method of detecting life state of a spatial rolling bearing based on vibration-sensitive time-frequency characteristics and belongs to the technical field of reliability estimation and life prediction for rolling bearings. The method includes: establishing a life state characteristic set of the spatial rolling bearing via vibration frequency-domain characteristic parameters to represent the life state; removing non-sensitive characteristics in the life state characteristic set by means of life sensitivity index computation, and establishing a life state sensitive characteristic subset to enhance representation of the life state; subjecting the life state sensitive characteristic subset to dimensionality reduction and redundancy removal by a linear local tangent space alignment algorithm so as to obtain a low-dimensional life state characteristic set with good class characteristics; using a nearest neighbor classifier to recognize different life states of the spatial rolling bearing. The method allows the life state of the spatial rolling bearing to be accurately recognized and is better in application effect.

Description

technical field [0001] The invention belongs to the technical field of reliability evaluation and life prediction of rolling bearings, and relates to a method for detecting the life state of space rolling bearings based on vibration-sensitive time-frequency characteristics. Background technique [0002] The life of a space rolling bearing refers to the total number of turns or total hours of normal operation of the bearing under a certain working environment and conditions (such as speed and load). In engineering practice, due to factors such as the speed, load and working environment of space bearings, it is impossible to test and count the number of bearing rotations, so it is necessary to seek new characteristic quantities to characterize and evaluate the bearing life. At present, for space rolling bearings, the commonly used test methods at home and abroad include tribological characteristic analysis, friction torque test and temperature test, but these characteristic qu...

Claims

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Application Information

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IPC IPC(8): G01M13/04G06K9/62
Inventor 陈仁祥陈思杨杨黎霞
Owner CHONGQING JIAOTONG UNIVERSITY
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