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Off-Design Performance of 9F Gas Turbine Based on gPROMs and BP Neural Network Model

HAO Xuedi SUN Lei CHI Jinling ZHANG Shijie

热科学学报(英文版)2022,Vol.31Issue(1):261-272,12.
热科学学报(英文版)2022,Vol.31Issue(1):261-272,12.

Off-Design Performance of 9F Gas Turbine Based on gPROMs and BP Neural Network Model

Off-Design Performance of 9F Gas Turbine Based on gPROMs and BP Neural Network Model

HAO Xuedi 1SUN Lei 2CHI Jinling 1ZHANG Shijie1

作者信息

  • 1. School of Mechanical Electronic & Information Engineering,China university of Mining & Technology-Beijing,Beijing 100083,China
  • 2. Key Laboratory of Intelligent Mining and Robotics,Ministry of Emergency Management,Beijing 100083,China
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摘要

关键词

off-design performance/gas turbine/gPROMs/MATLAB neural network/peak shaving operation

Key words

off-design performance/gas turbine/gPROMs/MATLAB neural network/peak shaving operation

引用本文复制引用

HAO Xuedi,SUN Lei,CHI Jinling,ZHANG Shijie..Off-Design Performance of 9F Gas Turbine Based on gPROMs and BP Neural Network Model[J].热科学学报(英文版),2022,31(1):261-272,12.

基金项目

The authors would like to acknowledge for the financial supports from the Fundamental Research Project in Chinese National Sciences and Technology Major Project Grant No.2017-Ⅰ-0002-0002. ()

热科学学报(英文版)

OACSCDEISCI

1003-2169

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