Press the left button, drag the mouse, rotate the cube, see more information

Limit Discounts

Through this webpage, choose online customer service communication, or message board. Leave your needs and get limited time discounts, up to 10% off, saving you a fortune. This discount has an indefinite period, and places are limited on a first-come, first-served basis.

Payment Method

We support various payment methods:
T/T payment
VISA
paypal
MasterCard
Alipay etc
Save time in your buying process.

Certified Product

The company's products have passed multiple national
certifications:
for example:
United States: ASME
EU: CE
Eastern Europe: EAC
Russia: GOST
Singapore: MOMO
etc
Buy products, buy with confidence, use with confidence

Product Type

Domestic hot water and heating series: gas hot water boiler, vacuum hot water boiler, vertical atmospheric pressure hot water boiler, electric hot water boiler Factory use, high temperature steam: wns fuel gas steam boiler, szs water tube steam boiler, vertical steam boiler, electric steam boiler

About Us

FANGKUAI is founded in 1998, which is a clean fuel boiler enterprise integrating R&D, manufacturing, sales and service. In the past 20 years of development and innovation, the company has grown into a global enterprise, and its products have been exported to more than 80 countries including Russia, Mongolia and Thailand, and have established long-lasting cooperative relations with local enterprises!

Contact Us

If you are interested in our company or products, you can contact with us through online consulting, demand table submission, e-mails and telephones. Our staff shall wholeheartedly provide product information, application knowledge and good service for you.

Neural Network Modeling and Control of Stoker-Fired Boiler

  • Offshore price : $20000-$100000 Get a quote on the right form
  • Minimum order quantity : 1 set :Neural Network Modeling and Control of Stoker-Fired Boiler
  • Supply Capacity : 10 units/month :Neural Network Modeling and Control of Stoker-Fired Boiler
  • Manufacturer/Brand : Fangkuai boiler
  • Port : Anyang
  • payment terms : Letter of Credit, Wire Transfer, VISA

Leave Your Message And Get Price!

I need the quotation of , the fuel is , this capacity is , use for . My Name is , my Email is , my WhatsApp is , Please Send the detail information for me!

Popular products

HOT

θrion Gas Fired Steam Boiler

Capacity:1-20t/h

Rated thermal efficiency: 100-104%

Fixed working pressure: ≤1.6MPa

Applicable fuel:natural gas etc.

consult
HOT

Gas(oil) Fired Integrated Hot Water Boiler

Capacity:0.7-14MW

Rated thermal efficiency:96-98%

Fixed working pressure:≤1.25MPa

Applicable fuel:Natural gas, light oil, etc.

consult
HOT

H6 Gas Fired Hot Water Boiler

Capacity:0.7-2.8Mw

Rated thermal efficiency: 97.2-106%

Fixed working pressure:0.1MPa

Applicable fuel:Natural gas, etc.

consult
HOT

T7 Vacuum Hot Water Boilerr

Capacity:2.8-7.0Mw

Rated thermal efficiency:≥105.5%

Fixed working pressure:-0.02MPa

Applicable fuel:Natural gas, etc.

consult
HOT

V6 Gas Fired Hot Water Boiler

Capacity:99Kw

Rated thermal efficiency:97.2-104.4%

Fixed working pressure:1.0MPa

Applicable fuel:Natural gas, etc.

consult
HOT

Electric Steam Boiler

Capacity:0.5-4.0 t/h

Rated thermal efficiency:98%

Fixed working pressure:≤1.25MPa

Applicable fuel:electric energy

consult

Leave us a message

We will send out plans and quotations within five minutes

Name (optional)

Email

Whatsapp

Choose product type

Message

boilermanufactory

Get display discount

boiler
Contact us

Global Sales Hotline:
0086-371-60922096

Email: [email protected]

Voicemail
  • Modeling and prediction of boiler drum in a thermal power

    The boiler drum is non-linear complex industrial equipment due to its phase change and inverse response behavior. One of the crucial control parameter of the industrial process is the drum level, reflected mainly by the load and feed water indirectly. As a result, the prediction of boiler drum level in thermal power plant which needs the modeling of boiler drum using data-driven …Get Price

  • A study on controlling with microcontroller in stoker

    A study on controlling with microcontroller in stoker-fired boilers. Download. Related Papers. Cleaner Production~ Energy Efficiency Guidelines for the Integration of Cleaner Production and Energy Efficiency. By Greenleaf Eng'g. Boiler Automation using microcontroller. By …Get Price

  • Study on the Parameter Model Affecting Coal Consumption

    [1] Smrekar J, Assadi M, Fast M, et al. Development of artificial neural network model for a coal-fired boiler using real plant data[J]. Energy, 2009, 34(2):144-152. [2] Wang Q C, Luo Y H. The black smoke control in a chaingrate stoker- -fired boiler at the time of …Get Price

  • biomass boiler Agent control system

    Applications include the predictive control of unstable combustion systems, process control for fluidized bed combustion, and optimal control of an industrial stoker-fired boiler. For the latter application, data collected during 300 h of experiments on an actual 0.75-MW chain grate stocker boiler were used to train two neural networks.Get Price

  • A Performance Evaluation Method of Coal-Fired Boiler Based

    Home Browse by Title Proceedings Smart Computing and Communication: 4th International Conference, SmartCom 2019, Birmingham, UK, October 11–13, 2019, Proceedings A Performance Evaluation Method of Coal-Fired Boiler Based on Neural NetworkGet Price

  • Statement of the Synthesis Problem of the - SpringerLink

    Nov 09, 2014 · Monitoring and control of stoker-fired boiler plant using neural networks, UK Department of Trade and Industry, PS-156 (1999) Google Scholar 16. T. Takagi, M. Sugeno, IEEE Trans. Syst. Man Cybern.Get Price

  • Title: Neural network modelling and control of coal fired

    This thesis presents the development of a Neural Network Based Controller (NNBC) for chain grate stoker fired boilers. The objective of the controller was to increase combustion efficiency and maintain pollutant emissions below future medium term stringent legislation.Get Price

  • The monitoring and control of stoker-fired boiler plant by

    May 20, 2009 · The work described in this paper aims to address the development of a Neural Network Based Controller (NNBC) to control chain grate stoker fired boilers. Artificial Neural Networks (ANNs) were used to estimate future emissions from and …Get Price

  • VOLUME I

    the monitoring and control of stoker-fired boiler plant by neural networks 525 fuzzy control, the non-linear characteristic diagram control - a successful model for optimising the process wtthin a thermal waste treatment plant 535 ch. gierend and m. born prediction of erosion damage to fiber linings in industrial furnaces 553 g. walter, v Get Price

  • biomass boiler Agent control system

    Applications include the predictive control of unstable combustion systems, process control for fluidized bed combustion, and optimal control of an industrial stoker-fired boiler. For the latter application, data collected during 300 h of experiments on an actual 0.75-MW chain grate stocker boiler were used to train two neural networks.Get Price

  • (PDF) Constraint-Based Control of Boiler Efficiency: A

    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, VOL. 3, NO. 1, FEBRUARY 2007 73 Constraint-Based Control of Boiler Efficiency: A Data-Mining Approach Zhe Song and Andrew Kusiak, Member, IEEE Abstract—In this paper, a data-mining approach is used to de- Booth and Roland [5] developed a neural network model to velop a model for optimizing the efficiency of …Get Price

  • The Monitoring and Control of Stoker-Fired Boiler Plant by

    Neural Network Based Superheater Steam Temperature Control for a Large-Scale Supercritical Boiler …Get Price

  • Modeling NOx emissions from coal-fired utility boilers

    Feb 01, 2012 · Despite neural networks (NNs) having been used widely in modeling NO x emissions from coal fired utility boiler, the neural network suffers from a number of weaknesses (Vong et al., 2006), which include the need for numerous controlling parameters such as the number of hidden neurons and the learning rate, difficulty in obtaining a stable Get Price

  • Combustion - an overview | ScienceDirect Topics

    Applications include the predictive control of unstable combustion systems, process control for fluidized bed combustion, and optimal control of an industrial stoker-fired boiler. For the latter application, data collected during 300 h of experiments on an actual 0.75-MW chain grate stocker boiler were used to train two neural networks.Get Price

  • biomass boiler Agent control system

    Applications include the predictive control of unstable combustion systems, process control for fluidized bed combustion, and optimal control of an industrial stoker-fired boiler. For the latter application, data collected during 300 h of experiments on an actual 0.75-MW chain grate stocker boiler were used to train two neural networks.Get Price

  • Staff Listing - The University of Nottingham

    Neural network modeling & control of stoker-fired boiler plant In: Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (DETC2007). 575-582Get Price

  • Neural Network Modeling and Control of Stoker-Fired Boiler

    (PDF) Combustion optimisation of stoker fired boiler plant Get Price

  • (PDF) Constraint-Based Control of Boiler Efficiency: A

    First, a boiler model S was built based on "Data set 1" by C. Comparison of the Decision-Tree Algorithm Accuracy for machine learning algorithms, such as a neural network or a Different Subset of Variables decision tree, and was assumed to be valid during that time As the number of input variables (controllable and noncon- period.Get Price

  • Modeling and optimization of the NOx emission

    Jan 01, 2004 · The use of computational fluid dynamics (CFD) codes for modeling utility boilers is becoming a useful tool to predict the performance of utility boilers and the NOx emission,,,,, which has the potential to become an important design tool to help the engineers to optimize the operating conditions, reduce pollution emission, improve the Get Price

  • Neural Network Based Superheater Steam Temperature …

    SST control of the supercritical boiler.1 Index Terms— Dynamic recurrent neural network, inverse model, supercritical boiler, superheater steam temperature control, compensation control. I. INTRODUCTION N the 21st century, while promoting new energy power generation technologies, it is envisioned by China's energyGet Price

  • Neural Control System - an overview | ScienceDirect Topics

    Subsequently, the neural control system has been applied on an industrial chain grate stoker fired boiler. For this application, data collected during 300 h of experiments contacted on an actual 0.75 MW chain grate stocker boiler were used to train two neural networks.Get Price

  • Combustion optimisation of stoker fired boiler plant …

    Request PDF | The monitoring and control of stoker-fired boiler plant by neural networks. | Thesis (Ph. D.)--University of Glamorgan, 1999. | Find, read and cite all the research you need on Get Price

  • Combustion Optimisation of Stoker-Fired Boiler Plant by

    This paper is concerned with the development of a neural network based controller (NNBC) for chain grate stoker fired boilers. The objective of the controller was to increase combustion efficiency and maintain pollutant emissions below future medium term legislation.Get Price

  • Title: The monitoring and control of stoker-fired boiler

    Abstract: This thesis is concerned with the implementation of Artificial Neural Networks (ANNs) to monitor and control chain grate stoker-fired coal boilers with a view to improving the combustion efficiency whilst minimising pollutant emissions. A novel Neural Network Based Controller (NNBC) was developed following a comprehensive set of Get Price

  • US7756591B2 - System for optimizing oxygen in a boiler

    A method and apparatus for optimizing air flow to a boiler of a power generating unit using advanced optimization, modeling, and control techniques. Air flow is optimized to maintain flame stability, minimize air pollution emissions, and improve efficiency. An optimizer determines optimal setpoint values for manipulated variables associated with the power generating unit by …Get Price

  • Neural Network Modelling and Control of Coal Fired Boiler

    This paper is concerned with the development of a neural network based controller (NNBC) for chain grate stoker fired boilers. The objective of the …Get Price

  • Prediction Method of NOx from Power Station Boilers Based

    Zhou, K. Cen and J. Fan, Modeling and optimization of the NO x emission characteristics of a tangentially fired boiler with artificial neural networks, Energy 29 (2004) 167–183. Crossref, ISI, …Get Price

  • Superheater Steam Temperature Control for a 300MW Boiler

    developed to improve the superheater steam temperature control of a 300MW boiler unit. A recurrent neural network was used for building the Inverse Dynamic Process Models (IDPMs) for the superheater system. Two inverse dynamic neural network (NN) models referring to the first-stage and the second-stageGet Price

  • Intelligent Model Predictive Control for Boiler

    Dec 28, 2021 · Abstract This paper introduces a new method based on intelligent model predictive control to control the temperature of a boiler. First, several linear local models (as a transfer function) are obtained at different operating points for the boiler system. A fully recurrent radial function neural network is then used to interpolate these linear models. This method is …Get Price

  • Optimization of coal-fired boiler using neural network

    Dec 20, 2015 · It is meaningful to research the coal-fired boiler optimization simulation. The study improves the neural network by genetic algorithm, and uses it to develop a model on the basis of optimal combustion experiment data, and optimizes the combustion parameters by the genetic algorithm to guide employee to adjust the fuel, air rate to achieve the Get Price

Discount
7X24 Online