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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 发表日期：2021     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 A novel detection method applied on low-frequency harmonics of Tokamak power supply 期刊论文 ENERGY REPORTS, 2021, 卷号: 7 作者:  Tian, Yunxiang;  Huang, Yiyun;  Li, Jun;  Yang, Shenfei;  Mao, Huafeng 收藏  |  浏览/下载：26/0  |  提交时间：2022/01/10 Harmonic detection  CBP-FIR filter  ICBP-FIR filter  Low-frequency harmonics  Tokamak power supply   An Adaptive Detection Algorithm for Micro-grid Harmonic Power Based on Deep Belief Network 期刊论文 TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2021, 卷号: 28, 期号: 3, 页码: 763-770 作者:  Gao, Jinggeng;  Wang, Xinggui;  Yang, Weiman 收藏  |  浏览/下载：7/0  |  提交时间：2021/10/14 adaptive detection  DBN  harmonic power  micro-grid  nonlinear load   Multi-branch convolutional neural network with generalized shaft orbit for fault diagnosis of active magnetic bearing-rotor system 期刊论文 MEASUREMENT, 2021, 卷号: 171, 页码: 11 作者:  Yan Xunshi;  张陈安4);  Liu Y(刘洋) 收藏  |  浏览/下载：24/0  |  提交时间：2021/03/30 Fault diagnosis  Convolutional neural network  Active magnetic bearing  Multi-sensor fusion  Shaft orbit   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：9/0  |  提交时间：2021/03/12 EMPIRICAL MODE DECOMPOSITION  FEATURE-EXTRACTION  SPECTRAL KURTOSIS  DIAGNOSIS  KURTOGRAM  SPEED   A Novel Rolling Bearing Vibration Impulsive Signals Detection Approach Based on Dictionary Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 6, 页码: 1188-1198 作者:  Chuan Sun;  Hongpeng Yin;  Yanxia Li;  Yi Chai 收藏  |  浏览/下载：50/0  |  提交时间：2021/06/11 Dictionary learning  impulsive signals detection  K-clustering with singular value decomposition (K-SVD)  minimum entropy deconvolution  rolling bearing  signal processing   A Signal Based “W” Structural Elements for Multi-scale Mathematical Morphology Analysis and Application to Fault Diagnosis of Rolling Bearings of Wind Turbines 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 993-1006 作者:  Qiang Li 收藏  |  浏览/下载：25/0  |  提交时间：2021/11/26 Fault diagnosis  structural element  multi-scale mathematical morphology  rolling bearing  correlation analysis