Development of a new multi-layer perceptron based soft sensor for SO2 emissions in power plant

被引:21
|
作者
Sun, Kai [1 ,2 ,3 ]
Wu, Xiuliang [1 ]
Xue, Jingyu [1 ]
Ma, Fengying [1 ]
机构
[1] Shandong Acad Sci, Qilu Univ Technol, Sch Elect Engn & Automat, Jinan 250353, Shandong, Peoples R China
[2] State Key Lab Proc Automat Min & Met, Beijing 100160, Peoples R China
[3] Beijing Key Lab Proc Automat Min & Met, Beijing 100160, Peoples R China
关键词
Desulfurization process; Extremal optimization; Nonnegative garrote; Soft sensor; Multi-layer perceptron; ARTIFICIAL NEURAL-NETWORK; VARIABLE SELECTION; EXTREMAL OPTIMIZATION; QUALITY PREDICTION; REGRESSION; ALGORITHM; CHINA; MODEL;
D O I
10.1016/j.jprocont.2019.10.007
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the paper, a multi-layer perceptron (MLP) based soft sensor for SO2 emission in desulfurization process of thermal power plants is proposed. Firstly, the production process and variables involved in the desulfurization system of thermal power plants are analyzed. Secondly, the MLP network and its input variable selection algorithm with nonnegative garrote (NNG) and extremal optimization (EO) are studied. The proposed algorithm employs MLP to model the complex desulfurization process, and then conducts shrinkage on input weights of MLP by NNG. After that, further local variable selection is performed by EO and the final model is presented. Thirdly, the simulation on actual production data of a power plant and comparisons with other state-of-art soft sensors are made to demonstrate the performance of the proposed algorithm. The simulation results show that the proposed algorithm can accurately predict the target variable and has superior performance to other algorithms. Moreover, the variable importance analysis with our approaches are consistent with the field operating experience and can provide reference for the further optimization of the control system of desulfurization process. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:182 / 191
页数:10
相关论文
共 50 条
  • [31] A multi-layer perceptron approach for SIF retrieval in the O2-A absorption band from hyperspectral imagery of the HyPlant airborne sensor system
    Buffat, Jim
    Pato, Miguel
    Alonso, Kevin
    Auer, Stefan
    Carmona, Emiliano
    Maier, Stefan
    Mueller, Rupert
    Rademske, Patrick
    Siegmann, Bastian
    Rascher, Uwe
    Scharr, Hanno
    REMOTE SENSING OF ENVIRONMENT, 2025, 318
  • [32] Estimation of power plant SO2 emissions using the HYSPLIT dispersion model and airborne observations with plume rise ensemble runs
    Chai, Tianfeng
    Ren, Xinrong
    Ngan, Fong
    Cohen, Mark
    Crawford, Alice
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2023, 23 (19) : 12907 - 12933
  • [33] Drivers of provincial SO2 emissions in China - Based on multi-regional input-output analysis
    Liu, Qiaoling
    Long, Yin
    Wang, Chunrui
    Wang, Zhen
    Wang, Qin
    Guan, Dabo
    JOURNAL OF CLEANER PRODUCTION, 2019, 238
  • [34] Automatic ECG arrhythmias classification scheme based on the conjoint use of the multi-layer perceptron neural network and a new improved metaheuristic approach
    Bouaziz, Fatiha
    Oulhadj, Hamouche
    Boutana, Daoud
    Siarry, Patrick
    IET SIGNAL PROCESSING, 2019, 13 (08) : 726 - 735
  • [35] Damage Prediction and Remaining Useful Lifetime Assessment of a Discrete Power Electronic Component Using a Multi-Layer Perceptron based on Mission Profile Data
    Bhat, Darshankumar
    Muench, Stefan
    Roellig, Mike
    2022 45TH INTERNATIONAL SPRING SEMINAR ON ELECTRONICS TECHNOLOGY (ISSE), 2022,
  • [36] A new permanent, low-cost, low-power SO2 camera for continuous measurement of volcanic emissions
    Wilkes, Thomas Charles
    Pering, Tom David
    Aguilera, Felipe
    Layana, Susana
    Nadeau, Patricia
    Kern, Christoph
    McGonigle, Andrew John Samuel
    Aguilera, Mauricio
    Zhu, Chengxi
    FRONTIERS IN EARTH SCIENCE, 2023, 11
  • [37] Development of SDT sensor based eddy current probe for detection of deep fatigue cracks in multi-layer structure
    Wincheski, Buzz
    Yu, Feng
    Simpon, John
    Williams, Phillip
    Rackow, Kirk
    NDT & E INTERNATIONAL, 2010, 43 (08) : 718 - 725
  • [38] Multi-layer Perception Neural Network Soft-sensor Modeling of Grinding Process Based on Swarm Intelligent Optimization Algorithms
    Shang-Guan, Yi-Peng
    Xing, Cheng
    Wang, Jie-Sheng
    Sun, Yong-Cheng
    Yang, Qing-Da
    ENGINEERING LETTERS, 2024, 32 (03) : 463 - 476
  • [39] Measurement of CO2, CO, SO2, and NO emissions from coal-based thermal power plants in India
    Chakraborty, N.
    Mukheriee, I.
    Santra, A. K.
    Chowdhury, S.
    Chakraborty, S.
    Bhattacharya, S.
    Mitra, A. P.
    Sharma, C.
    ATMOSPHERIC ENVIRONMENT, 2008, 42 (06) : 1073 - 1082
  • [40] Temperature sensor based on multi-layer MoS2 coated etched fiber Bragg grating
    Sridhar, S.
    Sebastian, Suneetha
    Asokan, S.
    APPLIED OPTICS, 2019, 58 (03) : 535 - 539