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浏览/检索结果: 共75条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Fatigue life prediction for LPBF-fabricated Ti-6Al-4V up to very-high-cycle regime based on continuum damage mechanics incorporating effect of defects 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF FATIGUE, 2024, 卷号: 181, 页码: 13 作者:  Ling, Chao;  Jia, Yinfeng;  Fu, Rui;  Zheng, Liang;  Zhong, Zheng   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/03/11 Fatigue life prediction  LPBF-fabricated Ti-6Al-4V  Continuum damage mechanics  Defect  Very-high-cycle fatigue   Investigation of landslide dam life span using prediction models based on multiple machine learning algorithms 期刊论文  OAI收割 GEOMATICS NATURAL HAZARDS & RISK, 2023, 卷号: 14, 期号: 1, 页码: 20 作者:  Wu, Hao;  Nian, Tingkai;  Shan, Zhigang   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/02/27 Landslide dam  life span prediction  machine learning algorithms  database  landslide dam type   Fatigue and Fracture Behavior of AlSi10Mg Manufactured by Selective Laser Melting: A Review 期刊论文  OAI收割 PHYSICAL MESOMECHANICS, 2023, 卷号: 26, 期号: 4, 页码: 367-390 作者:  Jiang, Z;  Sun, J;  Berto, F;  Wang, X;  Qian GA(钱桂安)   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/09/05 selective laser melting  AlSi10Mg  crack initiation  post-treatment  fatigue life prediction   A modified highly stressed volume (HSV) method to predict fatigue life considering the critical crack size 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 172, 页码: 107644 作者:  Zhang YT(张亚婷);  Zhang K(张坤);  Hu, Zheng;  Chen TY(陈天宇);  Zhang, Wanhao   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/04/20 Fatigue life prediction  The crack initiation size  Critical distance  Highly stressed volume  Fracture surface   Machine learning based very high cycle fatigue life prediction of AlSi10Mg alloy fabricated by selective laser melting 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 171, 页码: 107585 作者:  Shi T(时涛);  Sun JY(孙经雨);  Li JH(李江华);  Qian GA(钱桂安);  Hong YS(洪友士)   |  收藏  |  浏览/下载：16/0  |  提交时间：2023/04/20 Very high cycle fatigue (VHCF)  Machine learning (ML)  Selective laser melting (SLM)  Fatigue life prediction  Interpolation   Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 172, 页码: 107645 作者:  Jia, Yinfeng;  Fu, Rui;  Ling, Chao;  Shen, Zheng;  Zheng, Liang   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/06/15 Fatigue life prediction  Deep learning method  Laser powder bed fusion  Ti-6Al-4V  Very -high -cycle fatigue   Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 121-134 作者:  Xiang Li;  Yixiao Xu;  Naipeng Li;  Bin Yang;  Yaguo Lei   |  收藏  |  浏览/下载：26/0  |  提交时间：2023/01/03 Adversarial training  data fusion  deep learning  remaining useful life (RUL) prediction  sensor malfunction   A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 177-187 作者:  Qing Xu;  Min Wu;  Edwin Khoo;  Zhenghua Chen;  Xiaoli Li   |  收藏  |  浏览/下载：38/0  |  提交时间：2023/01/03 Deep learning  early prediction  lithium-ion battery  remaining useful life (RUL)   A 2-D Long Short-Term Memory Fusion Networks for Bearing Remaining Useful Life Prediction 期刊论文  OAI收割 IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 22, 页码: 21806-21815 作者:  Li, Yuan;  Wang, Huanjie;  Li, Jingwei;  Tan, Jie   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/03/20 Hidden Markov models  Feature extraction  Predictive models  Sensors  Mathematical models  Data models  Adaptation models  2-D long short-term memory (2D-LSTM)  fault occurrence time (FOT) detection  information fusion unit (IFU)  remaining useful life (RUL) prediction   Study of over-examination on tire induced by pressure correction process in flywheel tests 期刊论文  OAI收割 JOURNAL OF REINFORCED PLASTICS AND COMPOSITES, 2022, 页码: 8 作者:  Wang, Congwen;  Xiao, Chi;  Feng, Yihui;  Dai, Yujing;  Wang, Jun   |  收藏  |  浏览/下载：21/0  |  提交时间：2022/11/28 Tire life prediction  flywheel test  pressure correction process  strain energy density  finite element method