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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2017     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 Application of EWT AR model and FCM clustering in rolling bearing fault diagnosis 会议论文 Harbin, China, July 9, 2017 - July 12, 2017 作者:  Li, Jipu;  Zhao, Rongzhen;  Deng, Linfeng 收藏  |  浏览/下载：0/0  |  提交时间：2020/11/15 Failure analysis  Fault detection  Frequency modulation  Roller bearings  Vibration analysis  Wavelet transforms  AR models  Auto regressive models  Fault diagnosis method  Fault identifications  Fuzzy C mean clustering  Fuzzy C mean clustering (FCM)  High dimensional feature  Locality preserving projections   Fault diagnosis model based on NRS and EEMD for rolling-element bearing 会议论文 Harbin, China, July 9, 2017 - July 12, 2017 作者:  Lian, Jin;  Zhao, Rongzhen 收藏  |  浏览/下载：0/0  |  提交时间：2020/11/15 Classification (of information)  Computer aided diagnosis  Failure analysis  Fault detection  Support vector machines  Time domain analysis  Classification algorithm  EEMD  Ensemble empirical mode decompositions (EEMD)  Fault diagnosis model  Fault identifications  Feature attributes  Neighborhood rough sets  Rolling Element Bearing   Fault diagnosis of rolling bearings based on the dimension reduction using the regularized kernel maximum margin projection 期刊论文 Zhendong yu Chongji/Journal of Vibration and Shock, 2017, 卷号: 36, 期号: 14, 页码: 104-110 作者:  Zhao, Xiaoli;  Zhao, Rongzhen;  Sun, Yebei;  He, Jingju 收藏  |  浏览/下载：6/0  |  提交时间：2020/11/14 Dynamic response  Failure analysis  Learning systems  Pattern recognition  Roller bearings  Extreme learning machine  Fault diagnosis method  Fault diagnosis of rotating machineries  Fault identifications  Generalization ability  Modal shape  Random excitations  Vibration fatigue   LCD Denoise and Full Vector Mutual Information in Application of Gear Fault Diagnosis Under Different Working Conditions 期刊论文 Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2017, 卷号: 38, 页码: 2582-2588 作者:  Zhang, Xiangfeng;  Sun, Wenlei;  Wen, Guangrui;  Jiang, Hong 收藏  |  浏览/下载：4/0  |  提交时间：2019/11/26 Amplitude and frequency modulations  Cross-correlation coefficient  Different working conditions  Fault identifications  Instantaneous frequency  Local characteristic-scale decompositions  Mutual informations  Subjective experiences   Multiple random fault sources adaptive blind separation in situation of time-varying source signals and system 会议论文 作者:  Wang, Cheng;  Hu, Yanxia;  Zhan, Wei;  Wang, Jianying;  Yang, Baokun 收藏  |  浏览/下载：7/0  |  提交时间：2019/11/26 Adaptive  Blind identifications  Blind separation  Mechanical systems  Random faults  Recursive least squares algorithms  Separation methods  Time varying