Fault Diagnosis for Engine Based on Single-Stage Extreme Learning Machine
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Single-Stage Extreme Learning Machine (SS-ELM) is presented to dispose of the mechanical fault diagnosis in this paper.
Based on it, the traditional mapping type of extreme learning machine (ELM) has been changed and the eigenvectors extracted from signal processing methods are directly regarded as outputs of the network’s hidden layer.
Then the uncertainty that training data transformed from the input space to the ELM feature space with the ELM mapping and problem of the selection of the hidden nodes are avoided effectively.
The experiment results of diesel engine fault diagnosis show good performance of the SS-ELM algorithm.
American Psychological Association (APA)
Gao, Fei& Lv, Jiangang. 2016. Fault Diagnosis for Engine Based on Single-Stage Extreme Learning Machine. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112635
Modern Language Association (MLA)
Gao, Fei& Lv, Jiangang. Fault Diagnosis for Engine Based on Single-Stage Extreme Learning Machine. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1112635
American Medical Association (AMA)
Gao, Fei& Lv, Jiangang. Fault Diagnosis for Engine Based on Single-Stage Extreme Learning Machine. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112635
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112635