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浏览/检索结果: 共11条，第1-10条 帮助 限定条件 发表日期：2021    专题：兰州理工大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序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 Improved VMD-FRFT based on initial center frequency for early fault diagnosis of rolling element bearing 期刊论文 MEASUREMENT SCIENCE AND TECHNOLOGY, 2021, 卷号: 32, 期号: 11 作者:  Chen, Guangyi;  Yan, Changfeng;  Meng, Jiadong;  Wang, Huibin;  Wu, Lixiao 收藏  |  浏览/下载：12/0  |  提交时间：2021/10/14 bearing fault detection  initial center frequency  periodic impulses  reciprocal of spectral autocorrelation smoothness index  variational mode decomposition-fractional Fourier transform   Fault Classification Method of Rolling Bearing Based on Cloud Theory and ReliefHF 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 4, 页码: 667-672 作者:  Ma, Sencai;  Zhao, Rongzhen;  Wu, Yaochun;  DENG, Linfeng 收藏  |  浏览/下载：11/0  |  提交时间：2022/02/17 Knowledge based systems  Classification accuracy  Classification methods  Cloud classification  Cloud distributions  Fault classification  Noise resistance  Rolling bearings  Weight coefficients   Fault Monitoring Method of Wind Turbine Main Bearing 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 341-347 and 415 作者:  Zheng, Yuqiao;  Wei, Jianfeng;  Zhu, Kai;  Dong, Bo 收藏  |  浏览/下载：6/0  |  提交时间：2022/02/17 Bearings (machine parts)  Forecasting  Linear regression  Monitoring  Sliding mode control  Statistics  Support vector machines  Support vector regression  Wind turbines  Change of temperatures  Combination forecasting models  Determination coefficients  Mean and standard deviations  Multiple linear regression models  Multivariate linear regression model  Sliding window methods  Support vector machine regressions   Fault feature extraction of rolling bearing integrating KPCA and t-SNE 期刊论文 Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2021, 卷号: 34, 期号: 2, 页码: 431-440 作者:  Wang, Wang-Wang;  Deng, Lin-Feng;  Zhao, Rong-Zhen;  Wu, Yao-Chun 收藏  |  浏览/下载：67/0  |  提交时间：2022/02/17 Clustering algorithms  Data mining  Extraction  Feature extraction  Frequency domain analysis  Nearest neighbor search  Stochastic systems  Time domain analysis  Fault feature extractions  Feature extraction methods  Global and local structures  High dimensional feature  K-nearest neighbor classifier  Kernel principal component analyses (KPCA)  Rolling bearing vibration  Stochastic neighbor embedding   Initial fault time estimation of rolling element bearing by backtracking strategy, improved VMD and infogram 期刊论文 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2021, 卷号: 35, 期号: 2, 页码: 425-437 作者:  Babiker, Abdalla;  Yan, Changfeng;  Li, Qiang;  Meng, Jiadong;  Wu, Lixiao 收藏  |  浏览/下载：8/0  |  提交时间：2021/03/12 EMPIRICAL MODE DECOMPOSITION  FEATURE-EXTRACTION  SPECTRAL KURTOSIS  DIAGNOSIS  KURTOGRAM  SPEED   Rolling Bearing Fault Identification Based on Quantum-Behaved Particle Swarm Optimization and Multi-scale Permutation Entropy 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 1, 页码: 62-68 作者:  Wang, Wangwang;  Deng, Linfeng;  Zhao, Rongzhen;  Zhang, Aihua 收藏  |  浏览/下载：19/0  |  提交时间：2021/04/12 Clustering algorithms  Entropy  Fuzzy clustering  Particle swarm optimization (PSO)  Signal reconstruction  Ensemble empirical mode decompositions (EEMD)  Fault feature extractions  Fault recognition  Intrinsic Mode functions  Permutation entropy  Quantum-behaved particle swarm optimization  Rolling bearings  Vibration signal   Dynamic modeling of rotor-bearing-housing system with local defect on ball bearing using mass distribution and energy methods 期刊论文 PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART K-JOURNAL OF MULTI-BODY DYNAMICS, 2021, 卷号: 235, 期号: 3, 页码: 412-426 作者:  Liu, Yaofeng;  Yan, Changfeng;  Wang, Kai;  Gao, Xianghong;  Zhang, Xin 收藏  |  浏览/下载：5/0  |  提交时间：2021/06/03 Dynamic model  rotor-bearing-housing system  local defect  energy method  distribution of rotor mass   Rolling Bearing Fault Diagnosis Based on One-Dimensional Dilated Convolution Network With Residual Connection 期刊论文 IEEE ACCESS, 2021, 卷号: 9, 页码: 31078-31091 作者:  Liang, Haopeng;  Zhao, Xiaoqiang 收藏  |  浏览/下载：21/0  |  提交时间：2021/03/12 Convolution  Fault diagnosis  Feature extraction  Rolling bearings  Vibrations  Kernel  Load modeling  Different load domains  different noisy environments  dilated convolution  one-dimensional convolution neural network  rolling bearing fault diagnosis  residual connection   A New Method of Fault Feature Extraction Based on Hierarchical Dispersion Entropy 期刊论文 Shock and Vibration, 2021, 卷号: 2021 作者:  Chen, Peng;  Zhao, Xiaoqiang;  Jiang, Hongmei 收藏  |  浏览/下载：24/0  |  提交时间：2021/04/12 Dispersions  Entropy  Extraction  Failure analysis  Feature extraction  Gaussian noise (electronic)  Nearest neighbor search  Roller bearings  Signal processing  White noise  Fault diagnosis method  Fault feature extractions  Feature information  Gaussian white noise  K-nearest neighbor classifiers (KNN)  Low frequency band  Rolling bearings  Vibration signal   Rolling Bearing Fault Diagnosis Based on One-Dimensional Dilated Convolution Network with Residual Connection 期刊论文 IEEE Access, 2021, 卷号: 9, 页码: 31078-31091 作者:  Liang, Haopeng;  Zhao, Xiaoqiang 收藏  |  浏览/下载：63/0  |  提交时间：2021/04/12 Convolution  Failure analysis  Fault detection  Multilayer neural networks  Time domain analysis  Connection structures  Convolution neural network  Feature learning  Noisy environment  Residual structure  Rolling bearings  Time-domain signal  Weight coefficients