机构

• 沈阳自动化研究所 [3]
• 长春光学精密机械与物... [1]
• 光电技术研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [3]
• 会议论文 [2]

发表日期

• 2022 [1]
• 2021 [1]
• 2020 [1]
• 2011 [1]
• 2006 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Sensor fault estimation and fault tolerant control for IT2 fuzzy system via sliding mode approach 期刊论文  OAI收割 International Journal of Robust and Nonlinear Control, 2022, 卷号: 32, 期号: 4, 页码: 2027-2049 作者:  Sun Xingjian;  Kang HB(康浩博);  Ma HJ(马宏军)   |  收藏  |  浏览/下载：37/0  |  提交时间：2021/12/20 IT2 fuzzy system  sensor faults  sliding mode control  sliding mode observer  tolerant control   Distributed Resilient Tracking of Multiagent Systems Under Actuator and Sensor Faults 期刊论文  OAI收割 IEEE Transactions on Cybernetics, 2021, 页码: 1-12 作者:  Wu YM(武炎明);  Liu JG(刘金国);  Wang ZS(王占山)   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/01/20 Actuator faults  adaptive control  multiagent systems (MASs)  resilient control  sensor faults   Adaptive Fault-Tolerant Output Regulation of Linear Multi-Agent Systems with Sensor Faults 期刊论文  OAI收割 IEEE Access, 2020, 卷号: 8, 页码: 159440-159448 作者:  Sun, Yiran;  Xia, Yunxia;  Zhang, Jie;  Ding, Da-Wei   |  收藏  |  浏览/下载：19/0  |  提交时间：2021/05/11 Fault tolerance  Fault tolerant systems  Observers  Symmetric matrices  Topology  Multi-agent systems  Fault-tolerant control  output regulation  multi-agent systems  sensor faults   Energy Analysis Method Based on Wavelet Transform for Sensor Fault Diagnosis 会议论文  OAI收割 2011 International Conference on Mechatronics and Information Technology, Shenyang, China, August 16-19, 2011 作者:  Qian PP(钱朋朋);  Liu JG(刘金国);  Zhang W(张伟);  Wei YZ(魏英姿) 收藏  |  浏览/下载：25/0  |  提交时间：2012/06/06 Wavelet Analysis  Sensor Faults  Fault Diagnosis  Energy Analysis   Abrupt sensor fault diagnosis based on wavelet network (EI CONFERENCE) 会议论文  OAI收割 2006 IEEE International Conference on Information Acquisition, ICIA 2006, August 20, 2006 - August 23, 2006, Weihai, Shandong, China 作者:  Li W.;  Li W.;  Zhang H.;  Zhang H. 收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25 The possible faults of a sensor may be classified as abrupt (sudden) faults and incipient (slowly developing) faults. This paper focuses on the abrupt faults of a sensor. Due to the limited number of scales  a single wavelet amplitude map has not enough scales to describe all details of the signal. The sampling grid in the scale direction is rather sparse  Some of the fault information will be leaked under such sparse grid. To make up for the deficiency of scalar orthogonal wavelet transform in the application of abrupt fault diagnosis  multiwavelet packets transform was introduced into the field of abrupt fault diagnosis. The distribution differences of the signal energy on decomposed multiwavelet scales of the signal before and after the fault occurring are extracted as the fault feature and used as the input of multi-dimensional wavelet network. A new model-free diagnostic method for isolating abrupt sensor faults is developed based on a proposed algorithm of multi-dimensional wavelet network constructing. The method has been proved to be quite effective in the detection of sensor abrupt fault. 2006 IEEE.