中国开放科研知识云: 检索

验证码:

换一张

忘记密码？记住我

取消登录

CORC

首页
科研机构
检索
知识图谱
申请加入
托管服务

在结果中检索

科研机构

山东大学 [12]

湖南大学 [12]

西安交通大学 [9]

兰州理工大学 [5]

大连理工大学 [5]

力学研究所 [4]

内容类型

期刊论文 [60]

会议论文 [6]

发表日期

2019 [66]

知识图谱

CORC

已提交作品

待认领作品

已认领作品

未提交全文

浏览/检索结果: 共66条，第1-10条

帮助

限定条件

发表日期：2019

已选(0)清除条数/页：排序方式：
	An Ensemble Convolutional Neural Networks for Bearing Fault Diagnosis Using Multi-Sensor Data 期刊论文 Sensors, 2019, 卷号: 19, 期号: 23, 页码: 5300 作者: Yang Liu（刘洋）; Xunshi Yan; Zhang CA(张陈安); Wen Liu （刘文）收藏 \| 浏览/下载：98/0 \| 提交时间：2020/01/02 Rotating Machinery Fault Diagnosis Multi-sensor Fusion Convolutional Neural Network Ensemble Model
	Fault diagnosis of rotating machinery equipped with multiple sensors using space-time fragments 期刊论文 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：89/0 \| 提交时间：2019/07/11 Rotating machinery Fault diagnosis Multi-sensor fusion Active magnetic bearing Shaft orbit
	Fault diagnosis of rolling bearing based on resonance-based sparse signal decomposition with optimal Q-factor 期刊论文 MEASUREMENT & CONTROL, 2019, 卷号: 52, 期号: 7-8, 页码: 1111-1121 作者: Lu, Yan; Du, Juan; Tao, Xian 收藏 \| 浏览/下载：70/0 \| 提交时间：2019/12/16 Fault diagnosis resonance-based sparse signal decomposition optimal Q-factor genetic algorithm energy operator demodulating rolling bearing
	Weak Fault Feature Extraction Method for Rolling Bearings Based on SVD-EEMD and TEO Energy Spectrum 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2019, 卷号: 39, 期号: 4, 页码: 720-726 作者: Zhang, Chen; Zhao, Rongzhen; Deng, Linfeng; Wu, Yaochun 收藏 \| 浏览/下载：11/0 \| 提交时间：2020/11/14 Extraction Feature extraction Fourier series Mean square error Phase space methods Signal processing Singular value decomposition Spectroscopy Energy spectra Ensemble empirical mode decompositions (EEMD) Intrinsic Mode functions Mean square error criterions Phase space reconstruction Sensitive features Teager energy operators Weak fault feature extraction
	Method Integrate EWT Multi-scale Permutation Entropy with GG Clustering for Bearing Fault Diagnosis 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2019, 卷号: 39, 期号: 2, 页码: 416-423 作者: Zhao, Rongzhen; Li, Jipu; Deng, Linfeng 收藏 \| 浏览/下载：13/0 \| 提交时间：2020/11/14 Correlation methods Entropy Failure analysis Fault detection Principal component analysis Roller bearings Wavelet transforms Bearing fault diagnosis Correlation analysis Fault diagnosis method GG clustering Intrinsic mode components Mode combination method Non stationary characteristics Permutation entropy
	Rolling Bearing Fault Diagnosis Method Based on EEMD Singular Value Entropy 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2019, 卷号: 39, 期号: 2, 页码: 353-358 作者: Zhang, Chen; Zhao, Rongzhen; Deng, Linfeng 收藏 \| 浏览/下载：7/0 \| 提交时间：2020/11/14 Failure analysis Fault detection Mean square error Signal processing Singular value decomposition Ensemble empirical mode decompositions (EEMD) Euclidean distance Evaluation index Fault identifications Information entropy method Intrinsic Mode functions Rolling bearings Singular values
	A Parametric Design Method for Optimal Quick Diagnostic Software 期刊论文 SENSORS, 2019, 卷号: 19, 期号: 4, 页码: 13 作者: Yi, Xiao-jian; Hou, Peng 收藏 \| 浏览/下载：29/0 \| 提交时间：2020/01/10 early diagnosis time-critical application early classification feature selection
	Fault Diagnosis of Active Magnetic Bearing-Rotor System via Vibration Images 期刊论文 SENSORS, 2019, 卷号: 19, 期号: 2, 页码: AR244 作者: Yan XS; Sun Z; Zhao JJ; Shi ZG; Zhang CA(张陈安) 收藏 \| 浏览/下载：56/0 \| 提交时间：2019/04/11 fault diagnosis vibration signals active magnetic bearing rotary machinery AdaBoost
	Enhanced Sparse Period-Group Lasso for Bearing Fault Diagnosis 期刊论文 IEEE Transactions on Industrial Electronics, 2019, 卷号: 66, 页码: 2143-2153 作者: Zhibin, Zhao; Wu, Shuming; Qiao, Baijie; Wang, Shibin; Chen, Xuefeng 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/11/19 Adaptation models Bearing fault diagnosis Indexes Period estimation Sparsity within and across groups
	Data-driven multiscale sparse representation for bearing fault diagnosis in wind turbine 期刊论文 WIND ENERGY, 2019, 卷号: 22, 页码: 587-604 作者: Guo, Yanjie; Zhao, Zhibin; Sun, Ruobin; Chen, Xuefeng 收藏 \| 浏览/下载：39/0 \| 提交时间：2019/11/19 K-SVD bearing fault detection sparse representation wind turbine

相关链接
欧盟学术资源开放存取平台
CALIS高校机构知识库
台湾学术机构典藏
香港机构知识库整合系统
中国科学院机构知识库网格系统

CORC
关于我们
服务条款
隐私条款

联系我们
0931-8270076
cspace@llas.ac.cn
China-OR

中文简体

©版权所有 ©2017 CSpace - Powered by CSpace