山东大学教师主页贾磊 Intelligent rolling bearing compound fault diagnosis based on frequency-domain Gramian angular field and convolutional neural networks with imbalanced data 中文主页

贾磊 ( 教授 ) 赞
个人主页 https://faculty.sdu.edu.cn/jialei1/zh_CN/index.htm

教授

论文成果当前位置：中文主页 >> 科学研究 >> 论文成果

Intelligent rolling bearing compound fault diagnosis based on frequency-domain Gramian angular field and convolutional neural networks with imbalanced data

点击次数：
所属单位：控制科学与工程学院
论文名称：Intelligent rolling bearing compound fault diagnosis based on frequency-domain Gramian angular field and convolutional neural networks with imbalanced data
发表刊物：JOURNAL OF VIBRATION AND CONTROL
第一作者：张法业
论文编号：C738A48EB44544D7AE2393C9443FC056
期号：2023
字数：50
是否译文：否
发表时间：2023-11
发布时间：2024-10-11

上一条： Intelligent rolling bearing imbalanced fault diagnosis based on Mel-Frequency Cepstrum Coefficient and Convolutional Neural Networks

下一条： Structural discrepancy and domain adversarial fusion network for cross-domain fault diagnosis