An Acoustic Emission Event Filtering Method for Low-Speed Bearing Outer Race Defect Localization

Tang, Linjiang; Liu, Xiaoqin; Wang, Zhihai

doi:10.1109/jsen.2022.3189216

Cited by 6 publications

(2 citation statements)

References 32 publications

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“…Based on Hertz contact theory and considered the position of the rolling element within the bearing [33,34], the deformation occurring when the jth rolling element contacts the inner and ORs can be expressed as follows:…”

Section: Establishment Of Bearing Dynamics Modelmentioning

confidence: 99%

Investigation on the influence of temperature-variation clearance on the frequency of rolling bearing defects

An,

Gu,

Chen

et al. 2024

Meas. Sci. Technol.

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The clearance between the inner ring (IR) of rolling bearing and rotor is directly proportional to the temperature rise. The increased friction between the inner ring and rotor, as well as changes in the frequency of rolling bearing defects, and the accuracy of bearing health monitoring decreases. Existing research cannot effectively solve this problem. In response to the above issues, in this paper, the clearance between the bearing IR and the rotor and the internal clearance of bearing were considered, and the clearance was considered as the motion boundary of the rotor inside the IR, dynamic models of the bearing IR, outer ring (OR), and rolling element defects were established, and the trend of rolling bearing defects frequencies with temperature was analyzed, then the rationality of the dynamic models were verified through experimental methods. The research results show that the friction between the rotor and the IR increases with increasing temperature, and the speed of the IR decreases accordingly. The characteristic frequencies of defects in the IR, OR, and rolling element of rolling bearings have decreased by approximately 6.42%, 8.07%, and 6.93% compared to the theoretical values without considering temperature, respectively. This indicates that when identifying the frequency of rolling bearing defects at different temperatures, the frequency deviation caused by the increase in clearance between the IR and the rotor should be considered. The research results may serve as an important basis for fault diagnosis and condition monitoring of rolling bearings.

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Section: Establishment Of Bearing Dynamics Modelmentioning

confidence: 99%

Investigation on the influence of temperature-variation clearance on the frequency of rolling bearing defects

An,

Gu,

Chen

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…Filtration techniques comprise spatial filtering in the spatial domain and frequency filtering in the frequency domain [17]. Commonly used techniques include utilizing mean, median, and Gaussian filtering [18]. Frequency domain filtering commonly involves using Fourier transform and wavelet transform to convert images into the frequency domain for filtering operations [19,20].…”

Section: Introductionmentioning

confidence: 99%

Bearing fault diagnosis based on the feature enhancement of improved mean differential SDP images★

Wang,

Sun

2024

Eng. Res. Express

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In the fault diagnosis of mechanical equipment, vibrational signals often contain noise. In order to solve the problem of rolling bearing fault diagnosis under the influence of noise, an image enhancement method based on mean difference images is proposed. Convert one-dimensional time series into two-dimensional image data by using the symmetrized dot pattern method. The data are processed and grouped by variational mode decomposition to obtain a mean image with stable features. A feature enhancement method based on improved mean difference images is used to achieve data mining of fault features. The improved Canberra distance is used as the classification basis to realize the accurate classification of rolling bearing faults. Finally, the classification effect of the method is verified by experiments. The experimental results show that the image enhancement method proposed in this paper can improve fault features in the image and has a good anti-noise ability.

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A novel acoustic emission signal segmentation network for bearing fault fingerprint feature extraction under varying speed conditions

Liu

Lin

et al. 2023

Engineering Applications of Artificial Intelligence

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An Acoustic Emission Event Filtering Method for Low-Speed Bearing Outer Race Defect Localization

Cited by 6 publications

References 32 publications

Investigation on the influence of temperature-variation clearance on the frequency of rolling bearing defects

Investigation on the influence of temperature-variation clearance on the frequency of rolling bearing defects

Bearing fault diagnosis based on the feature enhancement of improved mean differential SDP images★

A novel acoustic emission signal segmentation network for bearing fault fingerprint feature extraction under varying speed conditions

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