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机译:通过非侵入式负载监测的舰船故障检测:一个案例研究
Department of Electrical Engineering and Computer Science (EECS), Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology, Cambridge, MA, USA;
Department of Electrical Engineering and Computer Science (EECS), Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology, Cambridge, MA, USA;
United States Coast Guard, Saint Petersburg, FL, USA;
Department of Electrical Engineering and Computer Science (EECS), Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology, Cambridge, MA, USA;
U.S. Naval Academy, Annapolis, MD, USA;
Department of Electrical Engineering and Computer Science (EECS), Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology, Cambridge, MA, USA;
Marine vehicles; Transient analysis; Monitoring; Sensors; Artificial neural networks; Current measurement; Harmonic analysis;
机译:基于低复杂度统计特征的低采样非侵入式负荷监测系统的事件检测算法
机译:用于非侵入式负载监控的新设备检测
机译:频谱包络估计中的瞬态事件检测,用于非侵入式负载监控
机译:用于舰船故障检测的非侵入式监控
机译:在线非侵入式状态监测和风力涡轮机故障检测。
机译:非侵入式设备负载监控:概述实验室测试结果和研究方向
机译:最终技术报告: 恢复法案:在线非侵入性 状态监测与故障 风力涡轮机的检测
机译:最终技术报告恢复法案:风力涡轮机的在线非侵入式状态监测和故障检测。