Research on Fault Diagnosis Based on Singular Value Decomposition and Fuzzy Neural Network
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-08
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
A method based on singular value decomposition (SVD) and fuzzy neural network (FNN) was proposed to extract and diagnose the fault features of diesel engine crankshaft bearings efficiently and accurately.
Firstly, vibration signals of crankshaft bearings in known state under the same working condition were decomposed by EMD to obtain the modal components containing fault-feature information.
Then, the singular values of modal components which include the main fault features were used as the initial vector matrix, where the eigenvectors were decomposed to form a fault characteristic matrix.
At last, the fault features matrix was trained by the fuzzy neural network, in order to realize the diagnosis and identification of the crankshaft bearings in different states in the form of numerical values.
The experiment showed that the numerical identification of the fuzzy neural network based on the singular value had high fault diagnosis accuracy and stability.
This method can also reflect the gradual change of the crankshaft bearings’ fault to some extent, so it has the desired reliability and value.
American Psychological Association (APA)
Gai, Jingbo& Hu, Yifan. 2018. Research on Fault Diagnosis Based on Singular Value Decomposition and Fuzzy Neural Network. Shock and Vibration،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1215480
Modern Language Association (MLA)
Gai, Jingbo& Hu, Yifan. Research on Fault Diagnosis Based on Singular Value Decomposition and Fuzzy Neural Network. Shock and Vibration No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1215480
American Medical Association (AMA)
Gai, Jingbo& Hu, Yifan. Research on Fault Diagnosis Based on Singular Value Decomposition and Fuzzy Neural Network. Shock and Vibration. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1215480
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1215480