QQ客服 官方微博 反馈留言

浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：西安交通大学    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 An adaptive method based on fractional empirical wavelet transform and its application in rotating machinery fault diagnosis 期刊论文 MEASUREMENT SCIENCE AND TECHNOLOGY, 2019, 卷号: 30 作者:  Zhang, Yang;  Du, Xiaowei;  Wen, Guangrui;  Huang, Xin;  Zhang, Zhifen 收藏  |  浏览/下载：19/0  |  提交时间：2019/11/19 rotor  fractional Fourier transform  feature extraction  startup  weak fault  empirical wavelet transform   Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings 期刊论文 Reliability Engineering and System Safety, 2019, 卷号: 184, 页码: 41-54 作者:  Jiao, Jinyang;  Zhao, Ming;  Lin, Jing;  Liang, Kaixuan 收藏  |  浏览/下载：15/0  |  提交时间：2019/11/19 Dictionary-based  Harmonic to noise ratios  Prior knowledge  Rolling bearings  Simulated signals  Sparse coding  Traditional approaches  Weak fault feature extraction   Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal 期刊论文 Mechanical Systems and Signal Processing, 2019, 卷号: 122, 页码: 673-691 作者:  Miao, Yonghao;  Zhao, Ming;  Makis, Viliam;  Lin, Jing 收藏  |  浏览/下载：19/0  |  提交时间：2019/11/19 Bearing fault diagnosis  Compound fault diagnosis  Individual components  Machinery condition monitoring  Meta-heuristic optimizations  Mode decomposition  Numerical validations  Optimization algorithms   An enhanced stochastic resonance method for weak feature extraction from vibration signals in bearing fault detection 期刊论文 PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2014, 卷号: 228, 期号: [db:dc_citation_issue], 页码: 815-827 作者:  Lei, Yaguo;  Lin, Jing;  Han, Dong;  He, Zhengjia 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/03 cascaded stochastic resonance  fault detection  Enhanced stochastic resonance  weak feature extraction   Planetary gearbox fault diagnosis using an adaptive stochastic resonance method 期刊论文 MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2013, 卷号: 38, 期号: [db:dc_citation_issue], 页码: 113-124 作者:  Lei, Yaguo;  Han, Dong;  Lin, Jing;  He, Zhengjia 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/10 Adaptive stochastic resonance  Planetary gearboxes  Fault diagnosis  Weak feature extraction   Enhancement of weak feature extraction in machinery fault diagnosis by using double density dual tree complex wavelet transform 期刊论文 Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2012, 卷号: 48, 期号: [db:dc_citation_issue], 页码: 56-63 作者:  Chen, Binqiang;  Zhang, Zhousuo;  He, Zhengjia 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/10 Double density dual-tree complex wavelet transforms  Dual-tree complex wavelets  Extracting features  Frequency aliasing  Machinery fault diagnosis  Neighboring coefficients  Shift invariance  Signal de-noising