A Study on the Generalized Approximation Modeling Method Based on Fitting Sensitivity for Prediction of Engine Performance
Joint Authors
Lin, Lin
Wang, Fang
Zhong, Shisheng
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Prediction technology for aeroengine performance is significantly important in operational maintenance and safety engineering.
In the prediction of engine performance, to address overfitting and underfitting problems with the approximation modeling technique, we derived a generalized approximation model that could be used to adjust fitting precision.
Approximation precision was combined with fitting sensitivity to allow the model to obtain excellent fitting accuracy and generalization performance.
Taking the Grey model (GM) as an example, we discussed the modeling approach of the novel GM based on fitting sensitivity, analyzed the setting methods and optimization range of model parameters, and solved the model by using a genetic algorithm.
By investigating the effect of every model parameter on the prediction precision in experiments, we summarized the change regularities of the root-mean-square errors (RMSEs) varying with the model parameters in novel GM.
Also, by analyzing the novel ANN and ANN with Bayesian regularization, it is concluded that the generalized approximation model based on fitting sensitivity can achieve a reasonable fitting degree and generalization ability.
American Psychological Association (APA)
Lin, Lin& Wang, Fang& Zhong, Shisheng. 2017. A Study on the Generalized Approximation Modeling Method Based on Fitting Sensitivity for Prediction of Engine Performance. Discrete Dynamics in Nature and Society،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1151585
Modern Language Association (MLA)
Lin, Lin…[et al.]. A Study on the Generalized Approximation Modeling Method Based on Fitting Sensitivity for Prediction of Engine Performance. Discrete Dynamics in Nature and Society No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1151585
American Medical Association (AMA)
Lin, Lin& Wang, Fang& Zhong, Shisheng. A Study on the Generalized Approximation Modeling Method Based on Fitting Sensitivity for Prediction of Engine Performance. Discrete Dynamics in Nature and Society. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1151585
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1151585