An Intelligent Fault Diagnosis Algorithm For Bearings That Integrates Attention Mechanisms With Convolutional Neural Networks

Ming Tang; Chun Jiao; Biao Cheng; Penghuan Wang

doi:10.47297/taposatWSP2633-456932.20250604

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An Intelligent Fault Diagnosis Algorithm For Bearings That Integrates Attention Mechanisms With Convolutional Neural Networks

6卷第4期

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An Intelligent Fault Diagnosis Algorithm For Bearings That Integrates Attention Mechanisms With Convolutional Neural Networks
An Intelligent Fault Diagnosis Algorithm For Bearings That Integrates Attention Mechanisms With Convolutional Neural Networks
School of Intelligent Science and Engineering, Xi'an Peihua University, Xi'an, China
2025年6卷第4期页码：179-183
纸质出版日期：2025-04-22
DOI：10.47297/taposatWSP2633-456932.20250604
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(2025). An Intelligent Fault Diagnosis Algorithm For Bearings That Integrates Attention Mechanisms With Convolutional Neural Networks. 科技理论与实践（英文版）, 6(4), 179-183.

Tang Ming,Jiao Chun,Cheng Biao,et al.An Intelligent Fault Diagnosis Algorithm For Bearings That Integrates Attention Mechanisms With Convolutional Neural Networks[J].Theory and Practice of Science and Technology,2025,06(04):179-183.
(2025). An Intelligent Fault Diagnosis Algorithm For Bearings That Integrates Attention Mechanisms With Convolutional Neural Networks. 科技理论与实践（英文版）, 6(4), 179-183. DOI： 10.47297/taposatWSP2633-456932.20250604.

Tang Ming,Jiao Chun,Cheng Biao,et al.An Intelligent Fault Diagnosis Algorithm For Bearings That Integrates Attention Mechanisms With Convolutional Neural Networks[J].Theory and Practice of Science and Technology,2025,06(04):179-183. DOI： 10.47297/taposatWSP2633-456932.20250604.

摘要

Abstract

Vibration monitoring equipment holds significant application value across various sectors

including industry

transportation

and construction. With the advancements in industrialization and automation

vibration monitoring technology has been extensively employed for real-time assessment and fault diagnosis of mechanical equipment. Analyzing vibration signals during equipment operation enables effective fault prediction and prevention

thereby enhancing both the safety and operational lifespan of the machinery. However

in numerous application scenarios

vibration monitoring equipment often encounters complex and variable environmental conditions

such as elevated temperatures

high humidity

and intense electromagnetic interference

which impose stringent demands on the reliability and stability of the devices.

关键词

Keywords

references

Louis E., Frenzel Jr (author), Ci Lin (Translation). 2017. Serial Communication Interface Specification and Standards [M]. Beijing: Tsinghua University Press.

Yujiang Jiang. 2016. Self-designed CPU and SCM [M]. Beijing: People's Posts and Telecommunications Press.

Hancai Hu. 2010. Microcontroller principle and its interface technology [M]. Beijing: Tsinghua University Press.

Xiaodong Li, Qing Meng,The Design and Implementation of Intelligent Assisted Driver Design smash based on three-axis gyroscopes and inclination sensors, ELECTRONICS WORLD Technology Exchange, October 2017.

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