机构

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

• 2018 [1]
• 2015 [1]
• 2011 [1]
• 2007 [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 Deterministic and Probabilistic Diagnostic Challenge Generation for Arbiter Physical Unclonable Function 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2018, 卷号: 37, 期号: 12, 页码: 3186-3197 作者:  Ye, Jing;  Guo, Qingli;  Hu, Yu;  Li, Xiaowei   |  收藏  |  浏览/下载：41/0  |  提交时间：2019/04/03 Arbiter physical unclonable function (PUF)  delay fault  diagnostic challenge  fault diagnosis  stuck-at fault   Optimal sequential diagnostic strategy generation considering test placement cost for multimode systems 期刊论文  OAI收割 SENSORS, 2015, 卷号: 15, 期号: 10, 页码: 25592-25606 作者:  Zhang SG(张士刚);  Song, Lijun;  Zhang W(张伟);  Hu Z(胡政);  Yang YM(杨拥民)   |  收藏  |  浏览/下载：19/0  |  提交时间：2015/11/02 Diagnostic Strategy  Sequential Fault Diagnosis  And/or Graph  Multimode System   Research and Development of Vehicle Fault Diagnostic Protocol ISO15765 会议论文  OAI收割 2011 International Conference on Transportation, Mechanical, and Electrical Engineering, TMEE 2011, Changchun, China, December 16-18, 2011 作者:  Xu AD(徐皑冬);  Liu LL(刘丽丽);  Song Y(宋岩);  Zhou Y(周亚) 收藏  |  浏览/下载：24/0  |  提交时间：2012/06/06 ISO15765  Higher layer protocol  Fault diagnostic  CAN   Development and application of Internet-based remote monitoring and diagnostic platform for key equipment 期刊论文  OAI收割 International Journal of Computer Integrated Manufacturing, 2007, 卷号: 20, 期号: 2-3, 页码: 234-243 作者:  Yu HB(于海斌);  Li YF(李延峰);  Guo QJ(郭前进);  Xu AD(徐皑冬) 收藏  |  浏览/下载：23/0  |  提交时间：2012/05/29 condition-based maintenance  fault diagnostic  Internet-based remote monitoring  application platform  nonlinear 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：18/0  |  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.