基于小波包降噪与VMD的滚动轴承故障特征提取方法The Rolling Bearing Fault Feature Extraction Method Based on Wavelet Packet Noise Reduction and VMD
袁燕红, 白静国, 王永帅
机械工程与技术Vol.8 No.2, 全文下载: PDF HTML XML DOI:10.12677/MET.2019.82015, April 25 2019
基于小波变换的电磁轴承故障信号诊断Wavelet Transformation Fualt Diagnosis of Acitve Magnetic Beraings Based on Wavelet Transformation
王公强, 郁永涛
机械工程与技术Vol.10 No.5, 全文下载: PDF HTML XML DOI:10.12677/MET.2021.105053, September 29 2021
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CEEMDAN和优化形态学滤波的电机轴承故障诊断Fault Diagnosis of Motor Bearings Based on CEEMDAN and Optimized Morphological Filtering
孙本晗
建模与仿真Vol.13 No.5, 全文下载: PDF XML DOI:10.12677/mos.2024.135466, September 5 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FMD-DisEn的滚动轴承振动信号故障特征提取Fault Feature Extraction of Rolling Bearing Vibration Signals Based on FMD-DisEn
赵妙颖, 郑珺升
传感器技术与应用Vol.12 No.6, 全文下载: PDF XML DOI:10.12677/jsta.2024.126096, November 28 2024