中国科学院机构知识库网格系统: 检索

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	MRFI: An Open-Source Multiresolution Fault Injection Framework for Neural Network Processing 期刊论文 OAI收割 IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2024, 页码: 11 作者: Huang, Haitong; Liu, Cheng; Xue, Xinghua; Liu, Bo; Li, Huawei \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2024/05/20 Biological neural networks Hardware Reliability Computational modeling Neural networks Fault tolerant systems Fault tolerance Fault evaluation fault injection fault simulation multiresolution neural network reliability
	A novel entropy-based fault diagnosis and inconsistency evaluation approach for lithium-ion battery energy storage systems 期刊论文 OAI收割 JOURNAL OF ENERGY STORAGE, 2021, 卷号: 41, 页码: 20 作者: Qiu, Yishu; Cao, Wenjiong; Peng, Peng; Jiang, Fangming \| 收藏 \| 浏览/下载：54/0 \| 提交时间：2021/10/27 Lithium-ion battery Energy storage system Shannon entropy Internal short circuit Fault diagnosis Inconsistency evaluation
	Safety evaluation of gas storage caverns located close to a tectonic fault 期刊论文 OAI收割 JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2015, 卷号: 23, 页码: 281-293 作者: Wang, Tongtao \| 收藏 \| 浏览/下载：127/0 \| 提交时间：2018/06/05 Gas storage Salt cavern Fault 3D geomechanical model Safety evaluation
	Application of quantitative fault tree analysis based on fuzzy synthetic evaluation to software development for space camera (EI CONFERENCE) 会议论文 OAI收割 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011, August 8, 2011 - August 10, 2011, Zhengzhou, China 作者: Li Y.; Li Y.; Li Y.; Li Y. 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/03/25 Software reliability analysis is a significant measure to guide design of software reliability. Now software fault tree method to carry on software reliability analysis is used more and more. But it can only qualitative carry on the analysis because of many reasons. For example the scale of software is enlarging the software architecture is getting more and more complex the reason of software fault is very difficult to analyze the software is difference with hardware and it is very hard to obtain the expiration the quantitative data and so on. The space camera is extremely high to the reliable request. So the qualitative analysis is unable to satisfy the analysis request. In view of space camera characteristics a method of fault tree analysis based on fuzzy synthetic evaluation is proposed. The results show that the new method makes software quantitative fault tree analysis possible and optimizes. It can also solve the problem of software component which is unable to quantize precisely. 2011 IEEE.
	characterizing failure-causing parameter interactions by adaptive testing 会议论文 OAI收割 20th International Symposium on Software Testing and Analysis, ISSTA 2011, Toronto, ON, Canada, 17-Jul-02 Zhang Zhiqiang; Zhang Jian \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2011/10/10 Computer software selection and evaluation Fault detection Testing
	methodology for reliability evaluation of n-version programming software fault tolerance system 会议论文 OAI收割 International Conference on Computer Science and Software Engineering, CSSE 2008, Wuhan, Hubei, China, 40878 Ping Guo; Xin Liu; Qian Yin 收藏 \| 浏览/下载：142/4 \| 提交时间：2011/06/13 Computer software selection and evaluation Failure analysis Fault tolerance Fault tolerant computer systems Random variables Reliability analysis Safety engineering Software engineering Software reliability
	Model-based Dynamic Evaluation to Support the Design of Alarm Systems Part 2: Case Study of a Boiler Plant Simulator 期刊论文 OAI收割 Journal of the Society for Industrial Plant Human Factors of Japan, 2007, 卷号: 11, 期号: 2, 页码: 128-138 作者: Liu, Xiwei; Kosaka, Hiroaki; Noda, Masaru; Nishitani, Hirokazu \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2018/01/09 Alarm System Fault Detection And Identification Virtual Subject Model-based Evaluation
	Model-based dynamic evaluation to support the design of alarm systems Part 1: Development of Virtual Subject 期刊论文 OAI收割 Journal of the Society for Industrial Plant Human Factors of Japan, 2007, 卷号: 11, 期号: 2, 页码: 118–127 作者: Liu, Xiwei; Kosaka, Hiroaki; Noda, Masaru; Nishitani, Hirokazu \| 收藏 \| 浏览/下载：9/0 \| 提交时间：2018/01/09 Alarm System Fault Detection And Identification Virtual Subject Model-based Evaluation