Applying Hierarchical Bayesian Neural Network in Failure Time Prediction
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
With the rapid technology development and improvement, the product failure time prediction becomes an even harder task because only few failures in the product life tests are recorded.
The classical statistical model relies on the asymptotic theory and cannot guarantee that the estimator has the finite sample property.
To solve this problem, we apply the hierarchical Bayesian neural network (HBNN) approach to predict the failure time and utilize the Gibbs sampler of Markov chain Monte Carlo (MCMC) to estimate model parameters.
In this proposed method, the hierarchical structure is specified to study the heterogeneity among products.
Engineers can use the heterogeneity estimates to identify the causes of the quality differences and further enhance the product quality.
In order to demonstrate the effectiveness of the proposed hierarchical Bayesian neural network model, the prediction performance of the proposed model is evaluated using multiple performance measurement criteria.
Sensitivity analysis of the proposed model is also conducted using different number of hidden nodes and training sample sizes.
The result shows that HBNN can provide not only the predictive distribution but also the heterogeneous parameter estimates for each path.
American Psychological Association (APA)
Kao, Ling-Jing& Chen, Hsin-Fen. 2012. Applying Hierarchical Bayesian Neural Network in Failure Time Prediction. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-1002272
Modern Language Association (MLA)
Kao, Ling-Jing& Chen, Hsin-Fen. Applying Hierarchical Bayesian Neural Network in Failure Time Prediction. Mathematical Problems in Engineering No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-1002272
American Medical Association (AMA)
Kao, Ling-Jing& Chen, Hsin-Fen. Applying Hierarchical Bayesian Neural Network in Failure Time Prediction. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-1002272
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1002272