Parallel Distributed Wireless Sensor Network Application for Critical Infrastructure Risk Analysis of Fossil Fuelled Power Stations
The present paper is an application paper to an already published fully distributed associative memory algorithm for use within a wireless sensor network (WSN). The published work shows that the set up allows a physical object to develop a capability, which to some extent may be considered as similar to our sense of touch, with WSN acting as the artificial nervous system in this regard. The published work general application areas range from new engineering structures, which make use of the surrounding information to increase their strength and stability to mechanical assemblies, which may warn of an imminent component failure. Consequently, the present paper set the scene to integrate the published algorithm within a total innovative set of engineering assessment and management application tools, tailored specifically towards critical infrastructure risk analysis of fossil-fuelled power stations.
Fossil Power Stations Critical Infrastructure Fossil Power Stations Risk Assessment Total Quality Assurance Computational Fluid Dynamic Computational System Mechanics Computational Finite Elements Engineering Mechanics
Mustafa Isreb
Gippsland School of Applied Sciences and Engineering Monash University Churchill,Vic.3842, Australia
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
301-305
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）