A Neural-Network-Based Method for Ash Fouling Prediction of Heat Transfer Surface in Coal-Fired Power Plant Boiler

A Neural-Network-Based Method for Ash Fouling Prediction of Heat Transfer Surface in Coal-Fired Power Plant Boiler

Soot blowing optimization and health management of coal-fired power plant boiler has received increasing attention in recent years. The ash fouling monitoring and prediction are the basis for achieve this goal. Nowadays, with the development of neural network technology, the new data-driven methodol...

Full description

Bibliographic Details
Main Authors: Yuanhao Shi, Mengwei Li, Fangshu Cui, Jie Wen, Jianchao Zeng
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Soot blowing optimization
ash fouling prediction
ensemble empirical mode decomposition (EEMD)
long short-term memory (LSTM)
encoder-decoder based attention (EDA)
Online Access:https://ieeexplore.ieee.org/document/9496623/

Internet

https://ieeexplore.ieee.org/document/9496623/

Similar Items