Research on abnormal data detection of gas boiler supply based on deep learning network-Reference-Cited by-同舟云学术

Research on abnormal data detection of gas boiler supply based on deep learning network

Published:2023-06 Issue: Volume:9 Page:226-233
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Miao Yanshu,Liu Jun,Liu Li,Chen Zhifeng,Pang Ming

Publisher

Elsevier BV

Subject

General Energy

Reference14 articles.

1. Computational investigation of hydrodynamics, coal combustion and NOx emissions in a tangentially fired pulverized coal boiler at various loads;Chang;Particuology,2021

2. Influence of reference temperature on exergy and exergoeconomic performance of a natural gas fired thermal power plant;Anozie;Int J Exergy,2013

3. Training data extraction and object detection in surveillance scenario;Wilkowski;Sensors (Basel, Switzerland),2020

4. Propagation, detection and correction of errors using the sequence database network;Benjamin;Brief Bioinform,2022

5. Detection of eccentric close-binary supermassive black holes with incomplete interferometric data;Kovaevi;Astron Astrophys,2022

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