文献检索/Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and ReliabilityEM-T2Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability2020-10-23第 236 卷第 4 期，554-569Intelligent fault diagnosis of rotating machinery based on a novel lightweight convolutional neural networkYuqi LuUniversity of Electronic Science and Technology of ChinaJinhua MiUniversity of Electronic Science and Technology of ChinaLiang HeUniversity of Electronic Science and Technology of ChinaYuhua ChengUniversity of Electronic Science and Technology of ChinaLibing BaiUniversity of Electronic Science and Technology of China去出版社页面 引用论文图谱收藏 被引提醒分享打印登录后看摘要和中文要点英文摘要、AI 生成的中文摘要和三条要点、参考文献和引证文献列表、论文图谱，注册免费。登录 / 注册关键词fault diagnosisrotating machinerylightweight convolutional neural networkrolling bearingsvibration acceleration signalsLeNetNinnetwork parameter optimizationfeature extraction参考文献39引证文献2相似文献引文网络关联作者相关机构登录后可以看完整列表。去登录论文图谱本篇和它的参考文献、引证文献、相似文献登录后可以看这篇的论文图谱：谁被它引用、谁引用了它、还有哪些相似的研究。登录 / 注册
