A Hybrid Model Based on Singular Spectrum Analysis and Support Vector Machines Regression for Failure Time Series Prediction-Reference-Cited by-同舟云学术

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A Hybrid Model Based on Singular Spectrum Analysis and Support Vector Machines Regression for Failure Time Series Prediction

Published:2016-11-15 Issue:8 Volume:32 Page:2717-2738
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Wang Xin¹,Wu Ji¹,Liu Chao¹,Wang Senzhang²,Niu Wensheng³

Affiliation:

1. School of Computer Science and Engineering; Beijing University of Aeronautics and Astronautics; Beijing China

2. College of Computer Science and Technology; Nanjing University of Aeronautics and Astronautics; Nanjing China

3. Aeronautical Computing Technique Research Institute; Aviation Industry Corporation of China; Xi'an China

Funder

Technology Foundation Program

National Natural Science Foundation of China

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Reference58 articles.

1. Singular spectrum analysis and forecasting of failure time series;Rocco;Reliability Engineering & System Safety,2013

2. Failure and reliability prediction by support vector machines regression of time series data;Moura;Reliability Engineering & System Safety,2011

3. Time series prediction using support vector machines: A survey;Sapankevych;IEEE Computational Intelligence Magazine,2009

4. Application of neural networks in forecasting engine systems reliability;Xu;Applied Soft Computing,2003

5. Combining time series and neural network approaches for modeling reliability growth;Su;Journal of the Chinese Institute of Industrial Engineers,1997

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