![](/images/graphics-bg.png)
Application of Model-Based Deep Learning Algorithm in Fault Diagnosis of Coal Mills
Joint Authors
Jian, Yifan
Qing, Xianguo
Zhao, Yang
He, Liang
Qi, Xiao
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-14
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The coal mill is one of the important auxiliary engines in the coal-fired power station.
Its operation status is directly related to the safe and steady operation of the units.
In this paper, a model-based deep learning algorithm for fault diagnosis is proposed to effectively detect the operation state of coal mills.
Based on the system mechanism model of coal mills, massive fault data are obtained by analyzing and simulating the different types of faults.
Then, stacked autoencoders (SAEs) are established by combining the said data with the deep learning algorithm.
The SAE model is trained by the fault data, which provide it with the learning and identification capability of the characteristics of faults.
According to the simulation results, the accuracy of fault diagnosis of coal mills based on SAE is high at 98.97%.
Finally, the proposed SAEs can well detect the fault in coal mills and generate the warnings in advance.
American Psychological Association (APA)
Jian, Yifan& Qing, Xianguo& Zhao, Yang& He, Liang& Qi, Xiao. 2020. Application of Model-Based Deep Learning Algorithm in Fault Diagnosis of Coal Mills. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1194644
Modern Language Association (MLA)
Jian, Yifan…[et al.]. Application of Model-Based Deep Learning Algorithm in Fault Diagnosis of Coal Mills. Mathematical Problems in Engineering No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1194644
American Medical Association (AMA)
Jian, Yifan& Qing, Xianguo& Zhao, Yang& He, Liang& Qi, Xiao. Application of Model-Based Deep Learning Algorithm in Fault Diagnosis of Coal Mills. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1194644
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194644