Title :
Simulation and Analysis of the Reliability of the Cloud Model-Based Automatic Environmental Monitoring System
Author :
Shao, Ying ; Li, Xiaoming
Author_Institution :
Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
Abstract :
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.
Keywords :
environmental monitoring (geophysics); fault trees; reliability; cloud model-based automatic environmental monitoring system; environmental factor; fault tree analysis; monitoring system reliability; Analytical models; Clouds; Employee welfare; Environmental factors; Humidity; Monitoring; Reliability;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5748618