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	On-Line Fault Protection for ReRAM-Based Neural Networks 期刊论文 OAI收割 IEEE TRANSACTIONS ON COMPUTERS, 2023, 卷号: 72, 期号: 2, 页码: 423-437 作者: Li, Wen; Wang, Ying; Liu, Cheng \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2023/07/12 Training Fault detection Computational modeling Image edge detection Memristors Neural networks Kernel Deep neural network hard fault ReRAM reliability soft fault
	Optimal State Estimation and Fault Diagnosis For a Class of Nonlinear Systems 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 517-526 作者: Hamed Kazemi; Alireza Yazdizadeh \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2021/03/11 Differential geometry fault detection and isolation (FDI) fault diagnosis neural network (NN) nonlinear observer and filter design optimal state estimation
	Local joint information based active fault tolerant control for reconfigurable manipulator 期刊论文 OAI收割 Nonlinear Dynamics, 2014, 卷号: 77, 期号: 3, 页码: 859-876 作者: Zhao B(赵博) \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2018/10/14 Reconfigurable Manipulators Local Joint Information Fault Detection And Identification Active Fault Tolerant Control Nonlinear Velocity Observer Radial Basis Function Neural Network
	Fault detection design for RUAV with an adaptive threshold neural-network scheme 会议论文 OAI收割 IEEE International Conference on Control and Automation, Guangzhou, China, May 30-June 1, 2007 作者: Qi JT(齐俊桐); Jiang Z(姜哲); Zhao XG(赵新刚); Han JD(韩建达) 收藏 \| 浏览/下载：24/0 \| 提交时间：2012/06/06 fault detection neural-network adaptive threshold rotorcraft UAV
	基于观测器的网络化控制系统故障检测学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2006 作者: 陈煜强收藏 \| 浏览/下载：73/0 \| 提交时间：2015/09/02 网络化控制系统网络延时故障检测 NetCon 组态软件 networked control system network delay fault detection NetCon configuration software
	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：21/0 \| 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.
	a new approach based on mobile agents to network fault detection 会议论文 OAI收割 1st International Conference on Computer Networks and Mobile Computing, BEIJING, PEOPLES R CHINA, OCT 16-19, Zhang PH; Sun YF \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2011/07/29 Aglet ICMP packet monitoring SNMP agent communication networks mobile agents network fault detection symptom isolation Internet computer network management computerised monitoring fault diagnosis packet switching software agents