机构

• 自动化研究所 [6]
• 力学研究所 [4]
• 沈阳自动化研究所 [4]
• 海洋研究所 [1]

采集方式

• OAI收割 [15]

内容类型

• 期刊论文 [12]
• 会议论文 [3]

发表日期

• 2024 [1]
• 2023 [1]
• 2022 [2]
• 2021 [4]
• 2020 [1]
• 2019 [6]
• 更多

学科主题

筛选

浏览/检索结果: 共15条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 An Intelligent Fault Diagnosis Framework for Rolling Bearings With Integrated Feature Extraction and Ordering-Based Causal Discovery 期刊论文  OAI收割 IEEE SENSORS JOURNAL, 2024, 卷号: 24, 期号: 10, 页码: 16374-16386 作者:  Ding, Xu;  Wang, Junlong;  Wu, Hao;  Xu, Juan;  Xin, Miao   |  收藏  |  浏览/下载：24/0  |  提交时间：2024/09/09 Fault diagnosis  Feature extraction  Vibrations  Deep learning  Rolling bearings  Data models  Sensors  Causal discovery  causal effect  diagnosis framework  feature extraction  rolling bearing   Intelligent fault diagnosis of train bearing based on ISTOA-VMD and SE-WDCNN 期刊论文  OAI收割 JOURNAL OF VIBRATION AND CONTROL, 2023, 页码: 12 作者:  He, Deqiang;  Zou, Xueyan;  Jin, Zhenzhen;  Yan, Jingren;  Ren, Chonghui   |  收藏  |  浏览/下载：23/0  |  提交时间：2023/12/07 intelligent fault diagnosis  train bearing  improved sooty tern optimization algorithm  variational mode decomposition  deep convolutional neural network   Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis 期刊论文  OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11 作者:  Wang, Huanjie;  Bai, Xiwei;  Wang, Sihan;  Tan, Jie;  Liu, Chengbao   |  收藏  |  浏览/下载：41/0  |  提交时间：2022/06/06 Fault diagnosis  Data models  Task analysis  Representation learning  Adaptation models  Training data  Training  Convolutional neural network (CNN)  data-driven fault diagnosis  domain generalization (DG)  model-agnostic learning  rolling bearing   A novel attention-based domain adaptation model for intelligent bearing fault diagnosis under variable working conditions 期刊论文  OAI收割 MEASUREMENT SCIENCE AND TECHNOLOGY, 2022, 卷号: 33, 期号: 1, 页码: 1-17 作者:  Wang Y(王煜);  Gao J(高洁);  Wang W(王伟);  Du JS(杜劲松);  Yang X(杨旭)   |  收藏  |  浏览/下载：101/0  |  提交时间：2021/11/08 domain adaptation  bearing fault diagnosis  adversarial network  attention mechanism   Multi-branch convolutional neural network with generalized shaft orbit for fault diagnosis of active magnetic bearing-rotor system 期刊论文  OAI收割 MEASUREMENT, 2021, 卷号: 171, 页码: 11 作者:  Yan Xunshi;  张陈安4);  Liu Y(刘洋);  Liu Y(刘洋);  Zhang CA(张陈安)   |  收藏  |  浏览/下载：35/0  |  提交时间：2021/03/30 Fault diagnosis  Convolutional neural network  Active magnetic bearing  Multi-sensor fusion  Shaft orbit   A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings 期刊论文  OAI收割 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593 作者:  Zhao-Hua Liu;  Liang Chen   |  收藏  |  浏览/下载：55/0  |  提交时间：2021/07/20 Deep learning  fault diagnosis  fault prognosis  long and short time memory network (LSTM)  rolling bearing  rotating machinery  regularization  remaining useful life prediction (RUL)  recurrent neural network (RNN)   A Signal Based “W” Structural Elements for Multi-scale Mathematical Morphology Analysis and Application to Fault Diagnosis of Rolling Bearings of Wind Turbines 期刊论文  OAI收割 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 993-1006 作者:  Qiang Li   |  收藏  |  浏览/下载：20/0  |  提交时间：2021/11/26 Fault diagnosis  structural element  multi-scale mathematical morphology  rolling bearing  correlation analysis   Rolling Bearing Fault Diagnosis Based on Meta-Learning with Few-Shot Samples 会议论文  OAI收割 Shenyang, China, November 8-11, 2021 作者:  He YP(贺云鹏);  Zang CZ(臧传治);  Zeng P(曾鹏);  Wang MX(王明新);  Dong QW(董青卫)   |  收藏  |  浏览/下载：39/0  |  提交时间：2021/12/13 convolutional neural network  fault diagnosis  few-shot learning  meta-learning  rolling bearing   Deep prototypical networks based domain adaptation for fault diagnosis 期刊论文  OAI收割 JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 页码: 11 作者:  Wang, Huanjie   |  收藏  |  浏览/下载：46/0  |  提交时间：2021/01/06 Bearing  Fault diagnosis  Domain adaptation  Prototype learning   Fault diagnosis of rotating machinery equipped with multiple sensors using space-time fragments 期刊论文  OAI收割 JOURNAL OF SOUND AND VIBRATION, 2019, 卷号: 456, 页码: 49-64 作者:  Yan XS;  Sun Z;  Zhao JJ;  Shi ZG;  Zhang CA(张陈安)   |  收藏  |  浏览/下载：99/0  |  提交时间：2019/07/11 Rotating machinery  Fault diagnosis  Multi-sensor fusion  Active magnetic bearing  Shaft orbit