@inproceedings{b0ddfd67279b4f74aad17cf2a9ad3e87,
title = "Design of deaerator storage tank level control system at industrial steam power plant with comparison of Neural Network (NN) and Extreme Learning Machine (ELM) method",
abstract = "This paper has proposed a prototype of a control system in deaerator storage tank level at Industrial Steam Power Plant based on artificial intelligence (AI). There are two kind methods of AI which are implemented in this research, first is Back Propagation Neural Network (BP-NN) and the second is Extreme Learning Machine (ELM). The proposed method is aimed to improve the performance of an existing Proportional Integral (PI) control method. The input variables are error level and load condition. The output variables are control valve percentage and indicator value. From the experiment, the result proved that ELM is fast superior to BP-NN according to the time of training process and error tolerance. Prototype-based on ELM is also working properly with an error tolerance of 0.15 %.",
keywords = "Arduino, Deaerator, Extreme Learning Machine (ELM), FS-400a, Neural Network (NN)",
author = "Mahardhika, {W. P.} and A. Soeprijanto and M. Syaiin and S. Wibowo and R. Kurniawan and B. Herijono and Adhitya, {R. Y.} and Zuliari, {E. A.} and Setiawan, {D. K.} and N. Rinanto and Kaloko, {B. S.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd International Symposium on Electronics and Smart Devices, ISESD 2017 ; Conference date: 17-10-2017 Through 19-10-2017",
year = "2017",
month = jul,
day = "1",
doi = "10.1109/ISESD.2017.8253302",
language = "English",
series = "2017 International Symposium on Electronics and Smart Devices, ISESD 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "40--45",
booktitle = "2017 International Symposium on Electronics and Smart Devices, ISESD 2017",
address = "United States",
}