Research on abnormal data detection of gas boiler supply based on deep learning network
On the basis of YOLO deep network detection method, a new abnormal data detection method is proposed to meet the needs of gas boiler abnormal data detection. In the feature extraction layer, the SENet structure is embedded between DBL and Pooling. Through compression, excitation and recalibration, t...
Main Authors: | Yanshu Miao, Jun Liu, Li Liu, Zhifeng Chen, Ming Pang |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-06-01
|
Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723003116 |
Similar Items
-
Efficiency and management of gas boilers in public buildings in Vojvodina
by: Bukurov Maša, et al.
Published: (2016-01-01) -
Research on the Optimization Design of Solar Energy-Gas-Fired Boiler Systems for Decentralized Heating
by: Ming Tao, et al.
Published: (2021-05-01) -
Flame failure detection and modern boilers /
by: 203462 Jones, A. R. -
Application of Gas Condensing Boilers in Domestic Heating
by: Marija Živić, et al.
Published: (2019-01-01) -
External corrosion and deposits : boilers and gas turbines /
by: Reid, William Thomas, Feb. 14, 1907-
Published: (1971)