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Journal of Robotics Networking and Artificial Life最新文献

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Spherical Mobile Robot Driven by Single Omni Wheel 单全方位轮驱动球形移动机器人
IF 0.3 Q4 Computer Science Pub Date : 2019-01-01 DOI: 10.2991/JRNAL.K.191202.003
Liu Wei, Wang Runjiao, Duan Lunqin, W. Yanyan, Wang Jiwu
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引用次数: 0
Sticking Fault Detecting Method for CARIMA Model CARIMA模型的粘着故障检测方法
IF 0.3 Q4 Computer Science Pub Date : 2018-02-02 DOI: 10.5954/ICAROB.2018.OS3-7
T. Tanikawa, Henmi Tomohiro
If a system with a fault continues to be operated, it can cause a serious accident or a considerable damage. Thus, it is important to detect faults and compensate them, and many fault detection methods have been proposed [1,2]. The advantage of fault detection is that the safety is improved, you can cope with the fault more promptly, and sometimes the system can be controlled compensating the fault. There are two kinds in fault detection, signal-based detection and model-based one. The signal-based detection is for example a method using spectral analysis, statistical signal analysis or pattern recognition, while the modelbased detection uses an observer or a parameter estimation [3]. In modelbased detection, a general method detecting additive faults is proposed by Isermann [4].
如果有故障的系统继续运行,可能会导致严重的事故或相当大的损害。因此,对故障进行检测和补偿非常重要,已经提出了许多故障检测方法[1,2]。故障检测的优点是提高了安全性,可以更及时地处理故障,有时还可以控制系统对故障进行补偿。故障检测分为基于信号的检测和基于模型的检测两种。例如,基于信号的检测是一种使用频谱分析、统计信号分析或模式识别的方法,而基于模型的检测使用观测器或参数估计[3]。在基于模型的检测中,Isermann[4]提出了一种检测加性故障的通用方法。
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引用次数: 0
ROS-based Multiple Cameras Video Streaming for a Teleoperation Interface of a Crawler Robot 基于ros的多摄像头视频流履带机器人远程操作接口
IF 0.3 Q4 Computer Science Pub Date : 2018-01-01 DOI: 10.2991/JRNAL.2018.5.3.9
Martínez-García Edgar, Magid Evgeni Arkadevich, Safin Ramil Nabiullovich, Lavrenov Roman Olegovich
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引用次数: 1
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Journal of Robotics Networking and Artificial Life
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