Fault Detection of Reciprocating Compressor Valve Based on One-Dimensional Convolutional Neural Network
Joint Authors
Guo, Fu-yan
Zhang, Yan-chao
Wang, Yue
Wang, Ping
Ren, Pei-jun
Guo, Rui
Wang, Xin-Yi
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Reciprocating compressors are important equipment in oil and gas industries which closely relate with the healthy development of the enterprise.
It is essential to detect the valve fault because valve failures account for 60% in total failures.
For this field, an artificial neural network (ANN) is widely used, but a complex network is not suitable for its low accuracy and easy overfitting.
This paper proposes a fault diagnosis model of a reciprocating compressor valve based on a one-dimensional convolutional neural network (1DCNN).
This method takes the differential pressure and differential temperature of each compressor stage as the input of 1DCNN, using the characteristics of the CNN to extract the features and finally using Softmax to classify the fault.
In order to verify this method, it is compared with LM-BP, RBF, and BP neural networks.
The results show that the fault recognition rate of 1DCNN reaches 100%, which proves the effectiveness and feasibility of the proposed method.
American Psychological Association (APA)
Guo, Fu-yan& Zhang, Yan-chao& Wang, Yue& Wang, Ping& Ren, Pei-jun& Guo, Rui…[et al.]. 2020. Fault Detection of Reciprocating Compressor Valve Based on One-Dimensional Convolutional Neural Network. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1200848
Modern Language Association (MLA)
Guo, Fu-yan…[et al.]. Fault Detection of Reciprocating Compressor Valve Based on One-Dimensional Convolutional Neural Network. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1200848
American Medical Association (AMA)
Guo, Fu-yan& Zhang, Yan-chao& Wang, Yue& Wang, Ping& Ren, Pei-jun& Guo, Rui…[et al.]. Fault Detection of Reciprocating Compressor Valve Based on One-Dimensional Convolutional Neural Network. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1200848
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200848