Reliability prediction of engine systems using least square support vector machine

Author

Zhang, Xinfeng ; Zhao, Yan ; Wang, Shengchang

Author_Institution

Key Lab. of Automotive Transp. Safety Enhancement Technol. of the Minist. of Commun., Chang´´an Univ., Xi´´an, China

fYear

2011

fDate

9-11 Sept. 2011

Firstpage

3856

Lastpage

3859

Abstract

Accurate reliability prediction is important for assessing product performances and making maintenance plans. This research applies least square support vector machine (LSSVM) in reliability analysis of engine systems. To evaluate the predictive performance of LSSVM, a comparative study is made and the probability distribution of the forecasting outcomes is analyzed. The experiment simulation results show LSSVM can provide accurate predictions.

Keywords

engines; least squares approximations; mechanical engineering computing; preventive maintenance; reliability; statistical distributions; support vector machines; LSSVM predictive performance; engine systems; least square support vector machines; maintenance planning; probability distribution; product performance assessment; reliability prediction; Educational institutions; Engines; Forecasting; Neural networks; Reliability engineering; Support vector machines; Learning method; Least square support vector machine; Reliability analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Control (ICECC), 2011 International Conference on

Conference_Location

Ningbo

Print_ISBN

978-1-4577-0320-1

Type

conf

DOI

10.1109/ICECC.2011.6067787

Filename

6067787