基于BP神经网络的滚动轴承故障监测研究 Rolling Bearing Fault Monitoring Research Based on the BP Neural Network
廖术娟, 傅攀, 张尔卿
机械工程与技术Vol.3 No.2, 全文下载: PDF HTML DOI:10.12677/MET.2014.32008, June 17 2014
基于改进卷积神经网络的滚动轴承故障诊断模型A Fault Diagnosis Model for Rolling Bearings Based on Improved Convolutional Neural Network
陈子浩, 李仁旺 国家自然科学基金支持
建模与仿真Vol.13 No.1, 全文下载: PDF HTML XML DOI:10.12677/MOS.2024.131018, January 11 2024
基于融合注意力的卷积神经网络滚动轴承故障诊断模型Convolution Neural Network Fault Diagnosis Model of Rolling Bearing Based on Fusion Attention
高程远
建模与仿真Vol.13 No.5, 全文下载: PDF XML DOI:10.12677/mos.2024.135498, September 19 2024
基于无源域自适应的滚动轴承故障诊断策略研究Source Free Domain Adaptation Strategy for Rolling Bearing Fault Diagnosis
谢奕星, 田 颖 国家自然科学基金支持
建模与仿真Vol.14 No.4, 全文下载: PDF XML DOI:10.12677/mos.2025.144320, April 21 2025
基于对抗生成网络的滚动轴承故障检测方法Rolling Bearing Anomaly Detection Based on Generative Adversarial Networks
华 丰
人工智能与机器人研究Vol.8 No.4, 全文下载: PDF HTML XML DOI:10.12677/AIRR.2019.84023, November 14 2019
基于二维卷积神经网络的轴承故障智能诊断Intelligent Diagnosis of Bearing Faults Based on Two-Dimensional Convolutional Neural Network
海天恒
建模与仿真Vol.13 No.2, 全文下载: PDF HTML XML DOI:10.12677/MOS.2024.132125, March 20 2024