DocumentCode :
1802399
Title :
A novel health probability for structural health monitoring
Author :
Zhao, Xueyan ; Lang, Ziqiang
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Univ. of Sheffield, Sheffield, UK
fYear :
2012
fDate :
7-8 Sept. 2012
Firstpage :
1
Lastpage :
6
Abstract :
A novel structural health monitoring strategy is proposed in this paper. A baseline model between the operating parameters and measurement features is established firstly to generate the baseline working feature and validated. Then a tolerance range of deviation of practical working features from the baseline model is computed based on normal distribution. Furthermore, health probability is defined as the proportion of the number of working status in the corresponding tolerance range. Finally, the effectiveness of such novel structural health monitoring strategy is validated by simulation study and experimental work.
Keywords :
condition monitoring; normal distribution; structural engineering; health probability; normal distribution; structural health monitoring; tolerance range; Acoustic emission; Mathematical model; Monitoring; Rotors; Sensors; Vibrations; Wind turbines; baseline model; health probability; structural condition monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Computing (ICAC), 2012 18th International Conference on
Conference_Location :
Loughborough
Print_ISBN :
978-1-4673-1722-1
Type :
conf
Filename :
6330502
Link To Document :
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