Chong et al., 2001 - Google Patents
Prediction of gaseous emissions from a chain grate stoker boiler using neural networks of ARX structureChong et al., 2001
- Document ID
- 2734076911076197579
- Author
- Chong A
- Wilcox S
- Ward J
- Publication year
- Publication venue
- IEE Proceedings-Science, Measurement and Technology
External Links
Snippet
The authors present the application of feedforward multi-layered perceptron networks as a simplistic means to model the gaseous emissions emanating from the combustion of lump coal on a chain-grate stoker-fired boiler. The resultant 'black-box'models of the oxygen …
- 230000001537 neural 0 title description 39
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23N—REGULATING OR CONTROLLING COMBUSTION
- F23N5/00—Systems for controlling combustion
- F23N5/003—Systems for controlling combustion using detectors sensitive to combustion gas properties
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hao et al. | Combining neural network and genetic algorithms to optimize low NOx pulverized coal combustion | |
| Hao et al. | Optimizing pulverized coal combustion performance based on ANN and GA | |
| Śladewski et al. | Optimization of combustion process in coal-fired power plant with utilization of acoustic system for in-furnace temperature measurement | |
| CN110991756B (en) | MSWI furnace temperature prediction method based on TS fuzzy neural network | |
| KR100422962B1 (en) | Process and device for regulating the combustion in a steam generation facility | |
| CN108549792A (en) | A kind of solid waste burning process dioxin emission concentration flexible measurement method based on latent structure mapping algorithm | |
| CN102460018B (en) | Especially the control method of fossil fuel boiler furnace combustion process and combustion system | |
| Chong et al. | Prediction of gaseous emissions from a chain grate stoker boiler using neural networks of ARX structure | |
| Korpela et al. | Indirect NOx emission monitoring in natural gas fired boilers | |
| CN111462835B (en) | A soft measurement method for dioxin emission concentration based on deep forest regression algorithm | |
| JP5452906B2 (en) | Combustion control system for combustion furnace and combustion control method thereof | |
| JP2019108995A (en) | Combustion condition determining device of combustion furnace, combustion condition determining method, and combustion system | |
| JP3712329B2 (en) | Process control unit | |
| JP5179163B2 (en) | Combustion control system for combustion furnace and combustion control method thereof | |
| US6361310B1 (en) | Method and apparatus for operating a combustion plant | |
| CN116906910B (en) | A Highly Efficient Combustion Control Method and System Based on Deep Convolutional Neural Networks | |
| Chong et al. | Neural network models of the combustion derivatives emanating from a chain grate stoker fired boiler plant | |
| CN119558514A (en) | Intelligent coal blending and combustion method and system | |
| Goerner et al. | Modelling, simulation and validation of the solid biomass combustion in different plants | |
| Chen et al. | Cascade transfer function models of MSWI process based on weight adaptive particle swarm optimization | |
| Wojcik et al. | Concept of application of signals from fiber optic system for flame monitoring to control separate pulverized coal burner | |
| Šulc et al. | Control for ecological improvement of small biomass boilers | |
| Kurniawan et al. | Analysis of Bed Temperature on Circulated Fluidized Bed Boiler Using Simple Multivariable Regression | |
| Adali et al. | NOx and CO prediction in fossil fuel plants by time delay neural networks | |
| TWI898608B (en) | System and information processing method for combustion equipment |