Time Series Risk Prediction Based on LSTM and a Variant DTW Algorithm: Application of Bed Inventory Overturn Prevention in a Pant-Leg CFB Boiler

Time Series Risk Prediction Based on LSTM and a Variant DTW Algorithm: Application of Bed Inventory Overturn Prevention in a Pant-Leg CFB Boiler

The pant-leg design is typical for higher capacity circulating fluidized bed (CFB) boilers because it allows for better secondary air penetration, maintaining good air-coal mixing and efficient combustion. However, the special risk, nominated as bed inventory overturn, remains a big challenge and it...

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Bibliographic Details
Main Authors: Feng Hong, Jiyu Chen, Zhiyu Zhang, Rui Wang, Mingming Gao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Risk prediction
time series
LSTM
CFB
bed inventory overturn
Online Access:https://ieeexplore.ieee.org/document/9142235/

Internet

https://ieeexplore.ieee.org/document/9142235/

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