A Vague Sets Based Hierarchical Synthetic Evaluation Algorithm for Health Condition Assessment

2008 ◽  
pp. 912-920
Author(s):  
Hua Bai ◽  
Lixin Gao
Keyword(s):  
Condition Assessment ◽  
Health Condition ◽  
Vague Sets ◽  
Evaluation Algorithm ◽  
Synthetic Evaluation

Health Assessment Based on Fuzzy Synthetic Evaluation for Civil Aircrafts

2011 ◽  
Vol 335-336 ◽  
pp. 985-988
Author(s):  
Bao Hui Jia ◽  
Ze Dong Sun
Keyword(s):  
Health Status ◽  
Health Management ◽  
Health Assessment ◽  
Fuzzy Synthetic Evaluation ◽  
Hydraulic Pump ◽  
Quantitative Level ◽  
Key Technologies ◽  
Civil Aircraft ◽  
Evaluation Algorithm ◽  
Synthetic Evaluation

Health assessment is one of the key technologies for civil aircraft health management system. In order to access the health status of components, subsystems and systems of civil aircrafts, this paper explicitly defines the health status, and presents the fuzzy synthetic evaluation algorithm. Then the model of the evaluated object is established to get the health status of quantitative level. Finally, the method is used for health assessment of aircraft hydraulic pump .The results of simulation show the practicability of this method.

Health Condition Assessment of Servomechanism Based on Grey Target Theory

2014 ◽  
Vol 643 ◽  
pp. 363-367
Author(s):  
Yu Hang Zheng ◽  
Zi Cheng Ning
Keyword(s):  
Principal Component Analysis ◽  
Standard Model ◽  
Correlation Analysis ◽  
Measurement Data ◽  
Principal Component ◽  
Condition Assessment ◽  
Health Condition ◽  
Coefficient Of Correlation ◽  
Target Theory ◽  
Index Weight

According to exist problem of servomechanism health condition assessment because of complicated measurement data, a method that based on grey target theory is proposed. By combining the principal component analysis (PCA) and correlation analysis to filter index and determine index weight, then target correlation was obtained by weighting the coefficient of correlation between measurement sequence and standard model that determined by required figure and measurement data, at last, health condition of servomechanism was assessed by matching health condition degree. Experiment shows that this method with clear procedure can exactly evaluate the servomechanism health condition.

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