机构

• 自动化研究所 [11]
• 地理科学与资源研究所 [1]

采集方式

• OAI收割 [12]

内容类型

• 期刊论文 [11]
• 会议论文 [1]

发表日期

• 2024 [1]
• 2023 [3]
• 2022 [6]
• 2020 [2]

学科主题

筛选

浏览/检索结果: 共12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提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions 期刊论文  OAI收割 RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 242, 页码: 13 作者:  Li, Yuan;  Li, Jingwei;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie   |  收藏  |  浏览/下载：21/0  |  提交时间：2024/02/22 Remaining useful life  Ensemble learning  Attention mechanism  Convolutional neural network  Transfer learning   Exploring Explicitly Disentangled Features for Domain Generalization 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6360-6373 作者:  Li, Jingwei;  Li, Yuan;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie   |  收藏  |  浏览/下载：16/0  |  提交时间：2023/12/21 Domain generalization  feature disentanglement  Fourier transform  data augmentation   Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis 期刊论文  OAI收割 JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 页码: 18 作者:  Wang, Huanjie;  Li, Yuan;  Bai, Xiwei;  Li, Jingwei;  Tan, Jie   |  收藏  |  浏览/下载：27/0  |  提交时间：2023/11/17 Intelligent diagnosis  Rotating machinery  Label propagation  Subpopulation shift  Unsupervised domain adaptation   Uncertainty Quantification in Remaining Useful Life Prediction under Covariate Shift 期刊论文  OAI收割 Neural Computing and Applications, 2023, 页码: 28 作者:  Wang Huanjie;  Bai Xiwei;  Tan Jie;  Liu Chengbao   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/06/19 Remaining useful life  Uncertainty quantification  Bayesian convolutional neural network   A 2-D Long Short-Term Memory Fusion Networks for Bearing Remaining Useful Life Prediction 期刊论文  OAI收割 IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 22, 页码: 21806-21815 作者:  Li, Yuan   |  收藏  |  浏览/下载：24/0  |  提交时间：2023/03/20 Hidden Markov models  Feature extraction  Predictive models  Sensors  Mathematical models  Data models  Adaptation models  2-D long short-term memory (2D-LSTM)  fault occurrence time (FOT) detection  information fusion unit (IFU)  remaining useful life (RUL) prediction   Cross-Level fusion for rotating machinery fault diagnosis under compound variable working conditions 期刊论文  OAI收割 MEASUREMENT, 2022, 卷号: 199, 页码: 7 作者:  Wang, Sihan;  Wang, Dazhi;  Kong, Deshan;  Li, Wenhui;  Wang, Huanjie   |  收藏  |  浏览/下载：41/0  |  提交时间：2022/07/25 Intelligent fault diagnosis  Few-shot learning  Anti-noise  Compound faults  Working condition variation   Few-shot multiscene fault diagnosis of rolling bearing under compound variable working conditions 期刊论文  OAI收割 IET CONTROL THEORY AND APPLICATIONS, 2022, 页码: 12 作者:  Wang, Sihan;  Wang, Dazhi;  Kong, Deshan;  Li, Wenhui;  Wang, Jiaxing   |  收藏  |  浏览/下载：54/0  |  提交时间：2022/07/25 Direct estimation of photosynthetic CO2 assimilation from solar-induced chlorophyll fluorescence (SIF) 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 271, 页码: 14 作者:  Liu, Zhunqiao;  Zhao, Feng;  Liu, Xinjie;  Yu, Qiang;  Wang, Yunfei   |  收藏  |  浏览/下载：38/0  |  提交时间：2022/09/21 Solar-induced chlorophyll fluorescence  Gross primary productivity (GPP)  Mechanistic light response model  Nonphotochemical quenching (NPQ)  Quantum yield of photosystem II (Phi(P))  Direct estimation   Cross-attention-map-based regularization for adversarial domain adaptation 期刊论文  OAI收割 NEURAL NETWORKS, 2022, 卷号: 145, 页码: 128-138 作者:  Jingwei, Li;  Huanjie, Wang;  Ke, Wu;  Chengbao, Liu;  Jie, Tan   |  收藏  |  浏览/下载：26/0  |  提交时间：2021/12/28 Domain adaptation  Few-shot learning  Attention mechanism  Contrastive learning   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：30/0  |  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