Fault Prediction for Nonlinear System Using Sliding ARMA Combined with Online LS-SVR

المؤلفون المشاركون

Zhang, Wei
Su, Shengchao
Zhao, Shuguang

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-07-16

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

هندسة مدنية

الملخص EN

A robust online fault prediction method which combines sliding autoregressive moving average (ARMA) modeling with online least squares support vector regression (LS-SVR) compensation is presented for unknown nonlinear system.

At first, we design an online LS-SVR algorithm for nonlinear time series prediction.

Based on this, a combined time series prediction method is developed for nonlinear system prediction.

The sliding ARMA model is used to approximate the nonlinear time series; meanwhile, the online LS-SVR is added to compensate for the nonlinear modeling error with external disturbance.

As a result, the one-step-ahead prediction of the nonlinear time series is achieved and it can be extended to n-step-ahead prediction.

The result of the n-step-ahead prediction is then used to judge the fault based on an abnormity estimation algorithm only using normal data of system.

Accordingly, the online fault prediction is implemented with less amount of calculation.

Finally, the proposed method is applied to fault prediction of model-unknown fighter F-16.

The experimental results show that the method can predict the fault of nonlinear system not only accurately but also quickly.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Su, Shengchao& Zhang, Wei& Zhao, Shuguang. 2014. Fault Prediction for Nonlinear System Using Sliding ARMA Combined with Online LS-SVR. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-491049

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Su, Shengchao…[et al.]. Fault Prediction for Nonlinear System Using Sliding ARMA Combined with Online LS-SVR. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-491049

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Su, Shengchao& Zhang, Wei& Zhao, Shuguang. Fault Prediction for Nonlinear System Using Sliding ARMA Combined with Online LS-SVR. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-491049

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-491049