Prediction of temperature signal of heat exchanger based on ARMA model

DOI

10.2991/icadme-16.2016.113How to use a DOI?

Keywords

ARMA model; heat exchanger; fault temperature signal; prediction

Abstract

With the development of measurement technology, people have accumulated a large amount of data, these data which often with time stamp can be regarded as time series. The basic idea, the process of modeling, and prediction process of fault temperature signal prediction based on ARMA model are presented in this study. Here, we illustrate the utility and challenges of applying ARMA (p, q) models, which p is the dimension of the autoregressive component of the model, and q is the dimension of the moving average component. We focus on parameter estimation and model selection. The experimental results show that the ARMA model is accurate and feasible in short term fault prediction, results can also provide theoretical basis for the maintenance of the heat exchanger.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Chuan Wang
PY  - 2017/07
DA  - 2017/07
TI  - Prediction of temperature signal of heat exchanger based on ARMA model
BT  - Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 641
EP  - 645
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-16.2016.113
DO  - 10.2991/icadme-16.2016.113
ID  - Wang2017/07
ER  -