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- 具有模拟转子的航空轴承试验技术研究
- 作者： 颜家森 满维伟 杨兵华 贺凤祥 王杏 来源： 轴承 年份： 2019 文献类型 ： 期刊 关键词： 滚动轴承 试验方案 动力学特性 柔性转子 刚性转子
- 描述： 针对传统刚性转子轴承试验不能模拟跨临界转速时转子动力学响应对轴承性能影响的问题,设计了带模拟转子的轴承试验方案,用以模拟发动机真实转子的动力学响应特性、安装条件、润滑条件和受载条件,并通过转速试验验证了该试验方案。
- 航空滚动轴承振动特征的故障灵敏度分析与融合技术
- 作者： 林桐 陈果 张全德 王洪伟 陈立波 来源： 航空动力学报 年份： 2018 文献类型 ： 期刊 关键词： 特征提取 灵敏度分析 滚动轴承 特征融合 状态评估
- 描述： 针对工程中航空滚动轴承实时状态监测的需要,提出了基于标准化欧氏距离的多特征融合评估方法。首先,进行了航空滚动轴承故障模拟试验,引入了故障灵敏度的定量评价指标,对融合前后特征的故障灵敏度进行了分析
- 保持架打滑对航空发动机主轴承故障特征频率的影响
- 作者： 景新 曹宏瑞 陈雪峰 来源： 航空动力学报 年份： 2019 文献类型 ： 期刊 关键词： 滚动轴承 故障轴承实验 局部损伤 故障特征频率 保持架打滑
- 描述： 。结果表明:随着转速升高,滚动轴承保持架打滑率趋于增大,导致轴承实际故障特征频率与基于纯滚动假设的理论计算值的偏差也随之增大。研究结论对于航空发动机主轴承的故障诊断具有指导意义。
- 具有模拟转子的航空轴承试验技术研究
- 作者： 颜家森 满维伟 杨兵华 贺凤祥 王杏 来源： 轴承 年份： 2019 文献类型 ： 期刊 关键词： 滚动轴承 试验方案 动力学特性 柔性转子 刚性转子
- 描述： 针对传统刚性转子轴承试验不能模拟跨临界转速时转子动力学响应对轴承性能影响的问题,设计了带模拟转子的轴承试验方案,用以模拟发动机真实转子的动力学响应特性、安装条件、润滑条件和受载条件,并通过转速试验验证了该试验方案。
- 航空滚动轴承振动特征的故障灵敏度分析与融合技术
- 作者： 林桐 陈果 张全德 王洪伟 陈立波 来源： 航空动力学报 年份： 2018 文献类型 ： 期刊 关键词： 特征提取 灵敏度分析 滚动轴承 特征融合 状态评估
- 描述： 针对工程中航空滚动轴承实时状态监测的需要,提出了基于标准化欧氏距离的多特征融合评估方法。首先,进行了航空滚动轴承故障模拟试验,引入了故障灵敏度的定量评价指标,对融合前后特征的故障灵敏度进行了分析
- EGMT-CD: Edge-Guided Multimodal Transformers Change Detection from Satellite and Aerial Images
- 作者： Yunfan Xiang Xiangyu Tian Yue Xu Xiaokun Guan Zhengchao Chen 来源： Remote Sensing 年份： 2023 文献类型 ： 期刊 关键词： sensing detection images edge Transformer feature change remote alignment heterogeneous
- 描述： Change detection from heterogeneous satellite and aerial images plays a progressively important role in many fields, including disaster assessment, urban construction, and land use monitoring. Currently, researchers have mainly devoted their attention to change detection using homologous image pairs and achieved many remarkable results. It is sometimes necessary to use heterogeneous images for change detection in practical scenarios due to missing images, emergency situations, and cloud and fog occlusion. However, heterogeneous change detection still faces great challenges, especially using satellite and aerial images. The main challenges in satellite and aerial image change detection are related to the resolution gap and blurred edge. Previous studies used interpolation or shallow feature alignment before traditional homologous change detection methods, which ignored the high-level feature interaction and edge information. Therefore, we propose a new heterogeneous change detection model based on multimodal transformers combined with edge guidance. In order to alleviate the resolution gap between satellite and aerial images, we design an improved spatially aligned transformer (SP-T) with a sub-pixel module to align the satellite features to the same size of the aerial ones supervised by a token loss. Moreover, we introduce an edge detection branch to guide change features using the object edge with an auxiliary edge-change loss. Finally, we conduct considerable experiments to verify the effectiveness and superiority of our proposed model (EGMT-CD) on a new satellite–aerial heterogeneous change dataset, named SACD. The experiments show that our method (EGMT-CD) outperforms many previously superior change detection methods and fully demonstrates its potential in heterogeneous change detection from satellite–aerial images.
- EGMT-CD: Edge-Guided Multimodal Transformers Change Detection from Satellite and Aerial Images
- 作者： Yunfan Xiang Xiangyu Tian Yue Xu Xiaokun Guan Zhengchao Chen 来源： Remote Sensing 年份： 2023 文献类型 ： 期刊 关键词： sensing detection images edge Transformer feature change remote alignment heterogeneous
- 描述： Change detection from heterogeneous satellite and aerial images plays a progressively important role in many fields, including disaster assessment, urban construction, and land use monitoring. Currently, researchers have mainly devoted their attention to change detection using homologous image pairs and achieved many remarkable results. It is sometimes necessary to use heterogeneous images for change detection in practical scenarios due to missing images, emergency situations, and cloud and fog occlusion. However, heterogeneous change detection still faces great challenges, especially using satellite and aerial images. The main challenges in satellite and aerial image change detection are related to the resolution gap and blurred edge. Previous studies used interpolation or shallow feature alignment before traditional homologous change detection methods, which ignored the high-level feature interaction and edge information. Therefore, we propose a new heterogeneous change detection model based on multimodal transformers combined with edge guidance. In order to alleviate the resolution gap between satellite and aerial images, we design an improved spatially aligned transformer (SP-T) with a sub-pixel module to align the satellite features to the same size of the aerial ones supervised by a token loss. Moreover, we introduce an edge detection branch to guide change features using the object edge with an auxiliary edge-change loss. Finally, we conduct considerable experiments to verify the effectiveness and superiority of our proposed model (EGMT-CD) on a new satellite–aerial heterogeneous change dataset, named SACD. The experiments show that our method (EGMT-CD) outperforms many previously superior change detection methods and fully demonstrates its potential in heterogeneous change detection from satellite–aerial images.