研究论文
A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults
Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang
Tsinghua University
来源Knowledge-Based Systems
年份2018
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
摘要 · 节选
暂未获取摘要。可打开原文或 PDF，后续可基于全文生成更完整的速读。
逐年被引趋势
95480
19
20
21
9522
23
24
25
26
关键指标
485
被引次数 · OpenAlex
27.24
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 0.1%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
40
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。
AI 辅助阅读
依据：文献信息
论文问答
当前基于文献信息回答
可就本文提问；依据不足时会说明。
学术脉络
学科主题
工程Machine Fault Diagnosis Techniques
Non-Destructive Testing Techniques · Industrial Vision Systems and Defect Detection
参考文献 40
Domain-Adversarial Training of Neural Networks
被引 7,711Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan · Advances in computer vision and pattern recognition · 2017
Global geometric similarity scheme for feature selection in fault diagnosis
被引 63Chao Liu, Dongxiang Jiang, Wenguang Yang · Expert Systems with Applications · 2013
Wavelets for fault diagnosis of rotary machines: A review with applications
被引 1,436Ruqiang Yan, Robert X. Gao, Xuefeng Chen · Signal Processing · 2013
此处列出前 3 条
引用本文 485
Applications of machine learning to machine fault diagnosis: A review and roadmap
被引 2,871Yaguo Lei, Bin Yang, Xinwei Jiang · Mechanical Systems and Signal Processing · 2020
A survey on sentiment analysis methods, applications, and challenges
被引 1,495Mayur Wankhade, Annavarapu Chandra Sekhara Rao, Chaitanya Kulkarni · Artificial Intelligence Review · 2022
A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
被引 815Weihua Li, Ruyi Huang, Jipu Li · Mechanical Systems and Signal Processing · 2021
按被引量排序，此处列出前 3 条