Simulation and Analysis of the Reliability of the Cloud Model-based Automatic Environmental Monitoring System

被引：0
|
作者：
Shao, Ying [1 ,2 ]
Li, Xiaoming [1 ]
机构：
[1] Wuhan Univ, Sch Elect Engn, Wuhan 430070, Hubei Province, Peoples R China
[2] Naval Univ Engn, Coll Elect & Informat Engn, Wuhan 430033, Hubei Province, Peoples R China
来源：
2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2011年
关键词：
cloud model; environmental factors; mean time between failure; fault tree analysis;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
There has not been an effective simulation and analysis method for the prediction of the reliability of monitoring system for a long time. This paper uses the cloud model theory and fault tree analysis (FTA) to transform elements that affect the reliability of the monitoring system, such as temperature, humidity, voltage, and stress of parts, into environmental factors, in order to obtain a new method to predict the reliability of the monitoring system by conducting the reliability modeling, simulation and analysis. Through the test of actual monitoring system, it fully verifies the effectiveness of the simulation and analysis method.
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收藏
页数：5
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