Mazalan, Nor A. and A. Malek, Azlan and Abdul Wahid, Mazlan and Mailah, Musa (2014) Neural network modeling for main steam temperature system. Jurnal Teknologi (Sciences and Engineering), 69 (3). pp. 93-97. ISSN 0127-9696
|
PDF
884kB |
Official URL: http://dx.doi.org/10.11113/jt.v69.3151
Abstract
Main Steam Temperature (MST) is non-linear, large inertia, long dead time and load dependant parameters. The paper present MST modeling method using actual plant data by utilizing MATLAB's Neural Network toolbox. The result of the simulation showed the MST model based on actual plant data is possible but the raw data need to be pre-processed for better output. Generator output, total main steam flow, main steam pressure and total spray flow are four main parameters affected the behavior of MST in coal fired power plant boiler
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | coal fired power plant, main steam temperature, neural network |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Mechanical Engineering |
| ID Code: | 54230 |
| Deposited By: | Siti Nor Hashidah Zakaria |
| Deposited On: | 05 Apr 2016 07:00 |
| Last Modified: | 03 Aug 2018 08:50 |
Repository Staff Only: item control page
